Top Software Engineer Jobs Openings in 2025

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Hi there!Join Zapier’s new AI Tasks team, where you’ll own the core AI surfaces that make our customers’ workflows smarter—shipping and scaling products like AI by Zapier and Human in the Loop that thousands rely on to extract, classify, summarize, and safely approve actions in production automations. You’ll partner across our AI Orchestration portfolio (Agents, Chatbots, Copilot, and platform capabilities) to design elegant, reliable AI execution patterns at scale—reducing friction, raising quality, and turning complex AI into approachable building blocks for real businesses.We’re hiring Senior Full Stack Engineers (both frontend and backend leaning) to help invest in taking these surface areas to the next level. You’ll collaborate closely with AI experts, product managers, designers, and platform engineers to bring LLM-native workflows to life — with users and usability always at the center.If you’re excited about building real-world applications of AI (not just demos), working across the stack, and shaping the future of autonomous agents in automation — we’d love to hear from you.Zapier Agents is a new and fast-moving product at the intersection of AI, automation, and product-led growth. In this role, you’ll:Design and build features that allow users to delegate tasks and orchestrate workflows using natural languageCollaborate with our platform team that manages agent memory, reasoning, execution, and system integrationsBuild and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behaviorCollaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructureOwn projects end-to-end — from scoping and architecture to implementation, testing, and supportImprove developer experience, observability, and deployment pipelines as the product maturesIn this role, you’ll:Design and build features that allow users to delegate tasks and orchestrate workflows using natural languageContribute to backend systems that manage agent memory, reasoning, execution, and system integrationsBuild and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behaviorCollaborate with AI and platform teams to connect Zapier Agents with core orchestration infrastructureOwn projects end-to-end — from scoping and architecture to implementation, testing, and supportImprove developer experience, observability, and deployment pipelines as the product maturesOur Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at Zapier High Visibility, High ImpactIf you thrive on building complex systems that are easy to use and hard to break, this zone is for you:Work on foundational systems used by millionsHelp users build smarter, more powerful automationsContribute to new AI-native experiencesCollaborate with cross-functional teams across Product, Design, and SupportJoin a high-ownership environment with clear user impact and fast iterationAbout YouWe’re looking for experienced engineers who bring:For backend-leaning Full Stack roles: Strong backend experience with Python/Django building reliable, scalable, and observable services. Experience with TypeScript/Node.js is a bonus, but not required.For frontend-leaning Full Stack roles: Advanced experience with React (and ideally frameworks like Next.js); you’re confident working across the stack and delivering cohesive user experiencesExperience architecting, building, debugging and operating distributed systems at scale is a benefit to candidates, but not essential.Familiarity with AWS primitives, including S3, SQS, Lambda, RDS, etc.Familiarity with relational databases like PostgreSQL or MySQL, and the ability to model, query, and optimize data effectivelyExperience designing and consuming RESTful APIs, building event-driven systems, and working with data integrations across servicesProven ability to lead complex technical projects—owning design decisions, balancing tradeoffs, and guiding implementation across multiple contributorsYou proactively coach and support teammates, foster growth through mentorship, and contribute to a culture of feedback and continuous improvementYou navigate ambiguity with confidence—able to clarify priorities, align stakeholders, and drive toward meaningful outcomes even when goals shiftYou’ve used AI tooling for work or personal use. You explore new tools, workflows, and ideas to make things more efficient, and are eager to deepen your understanding of AI and use it regularly.How to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As an Evaluation Frontend Software Engineer, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs). Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database. You will work closely with cross-functional teams, including researchers and engineers, to surface the insights that are necessary for the future development of our models.This role combines expertise in statistics, data science, frontend development and data visualization. If any of these topics sound interesting to you, we encourage you to apply.Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Evaluation Frontend Software Engineer you will:Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools, as well as statistical tools to extract signal from the noisy signals we get.Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation.You may be a good fit if you have:Extremely strong software engineering skills.Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance.Prior experience building front-end visualization systems and dashboards.Familiarity with ML systems evaluations.Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).Excellent communication skills to collaborate effectively with cross-functional teams and present findings.One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About the CompanyModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.This role is based in Redwood City, CA. We are in office 4 days a week.About the RoleWe’re looking for a Software Engineer Intern (Fall 2026) to join our Infrastructure team at DatologyAI. You’ll work closely with experienced engineers to design and build the systems that power large-scale data curation and model training. This is an opportunity to learn how cutting-edge AI infrastructure is built from the ground up—across distributed systems, multi-cloud environments, and high-performance compute platforms.As an intern, you’ll take ownership of meaningful projects that contribute directly to our production systems and internal tooling. You’ll learn how to think about scale, reliability, and efficiency in the context of modern AI workloads, while collaborating with some of the strongest engineers and researchers in the field.What You'll Work OnBuild and improve internal tools that accelerate developer productivity and system reliabilityDesign and prototype components of DatologyAI’s distributed training and data infrastructureContribute to automation, deployment, and observability systems across multi-cloud and on-prem environmentsCollaborate with engineers and researchers to bring new ML infrastructure capabilities to productionParticipate in code reviews, technical discussions, and learn best practices for scalable infrastructure developmentAbout YouPursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related fieldStrong programming skills in Python, Go, or C++Familiar with Linux systems, Docker, Kubernetes, or similar technologiesCurious about cloud computing (AWS, Azure, or GCP) and large-scale distributed systemsExcited to learn how infrastructure enables ML research and model deployment at scaleCollaborative, detail-oriented, and eager to take on complex technical problemsCompensationThis is a paid internship with a standard monthly stipend. If you are not currently located in the Bay Area, we provide a relocation stipend to help cover travel and living expenses during your three months on-site.We offer a comprehensive benefits package to support our employees' well-being and professional growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyAnnual $2,000 wellness stipend.Annual $1,000 learning and development stipend.Daily lunches and snacks are provided in our office!Relocation assistance for employees moving to the Bay Area.

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About the TeamThe Enterprise Agents team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company—then share what we learn back to the broader product and research teams. We’ve built an ecosystem of automation products that’s applied everywhere from customer operations to workplace to engineering. We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains. About the RoleWe’re looking for an engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, product-minded engineers who can see the big picture while staying on top of the little details that define great products. In this role, you will:Own the full product development lifecycle for new platform capabilities and product experiences end-to-endCollaborate closely with internal customers to understand their problems and implement effective solutionsWork with the research team to share relevant feedback and iterate on applying their latest models You might thrive in this role if you:4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companiesFormer founder, or early engineer at a startup who has built a product from scratch is a plusProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. About the RoleWe're looking for a Senior Software Engineer to join our backend team and help build the infrastructure that powers AI workloads at scale. You'll design and implement core services in Go, work across multiple cloud environments, and collaborate with customers and internal teams to deliver reliable, low-latency systems.This role is ideal for someone who enjoys solving hard distributed systems problems, cares deeply about performance, and wants to work at the intersection of cloud infrastructure and machine learning.What You'll DoDesign, build, and operate backend services in Go that handle high-throughput, latency-sensitive workloads.Optimize system performance across compute, memory, and network dimensions—identifying bottlenecks and implementing measurable improvementsBuild and maintain integrations with AWS, GCP, and Azure, abstracting cloud-specific complexity behind clean interfaces.Architect systems that run reliably across multiple cloud providers, handling the nuances of each platform.Collaborate with ML engineers and platform teams to understand workload characteristics and design systems that meet their needs.Participate in on-call rotations and incident response, continuously improving system reliability.Influence technical direction through design documents, code reviews, and mentorship.What We're Looking For5+ years of experience building production backend systems, with strong proficiency in Go.Demonstrated experience designing and operating large-scale distributed systems (high availability, fault tolerance, horizontal scaling).Deep understanding of performance optimization—you can profile code, interpret flame graphs, and reason about latency at the p99 level.Significant experience with multiple major cloud providers (AWS, GCP, Azure), including compute, networking, and IAM.Familiarity with Kubernetes, container orchestration, and cloud-native patterns.Strong communication skills and a collaborative approach to problem-solving.If in the Seattle/Bellevue area, you will be expected to be in-office, in a hybrid schedule.Nice to HaveExperience with Python and/or Rust for SDK or tooling development.Experience building infrastructure for ML/AI workloads (training, inference, data pipelines).Background in systems programming, networking, or storage.Contributions to open-source projects.Experience with Terraform, Pulumi, or other infrastructure-as-code tools.Benefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. Anyscale is actively seeking talented engineers to join our team and contribute to the development of next-generation, high-performance machine learning serving systems. We value diversity and inclusion, and we encourage individuals from underrepresented groups to apply. Many existing ML serving tools are inherited from previous infrastructure generations, but emerging ML applications present new requirements, such as high compute demands, specialized hardware needs, and the integration of multiple models and business logic within a single request. At Anyscale, our mission is to provide a powerful yet simple set of tools that enable the seamless deployment of complex ML applications in production. About the Serving Infrastructure team:The Serving Infrastructure team is dedicated to creating world-class systems for serving ML models in production. This includes building and maintaining the open-source Ray Serve library and contributing directly to the Anyscale platform used by our customers for critical applications. Our work is often user-facing, allowing you to collaborate with open-source users and customers ranging from lean ML engineering teams at small startups to industry-leading companies such as Uber, Shopify, and ByteDance. As part of this role, you will:Develop a highly available service for ML model serving.Enhance Ray Serve and our other libraries to simplify the development of next-generation ML applications in production.Improve our autoscaling capabilities to drive performance enhancements and cost savings.Optimize latency and throughput for both single- and multi-model serving scenarios.We'd love to hear from you if you have:A solid background in algorithms, data structures, and system design.Experience working with modern machine learning tooling, including PyTorch, TensorFlow, and JAX.At least 2+ year of relevant work experience.Bonus points!Experience in building and maintaining open-source projects.Experience in building and operating machine learning infrastructure in production.Experience in building highly available serving systems.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $170,112 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanEducation & Wellbeing StipendPaid Parental LeaveFertility BenefitsFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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Who we are Helsing is a defense AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing program managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defense, its benefits, and its ethical implications.  The role At Helsing we deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localize, navigate, and perceive the world in real time. You will have the unique opportunity to shape the future of AI in one of the most challenging sectors, where performance needs to be paired up with high generalization capabilities and strong robustness against adversarial attacks.  The day-to-day You will develop ML/AI that leverage and extend the latest state-of-the-art methods and architectures, as well as design experiments and conduct benchmarks to evaluate and improve their performance in real-world scenarios. You will be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems.  You should apply if you Hold an MSc in artificial intelligence, machine learning, computer science or a related field with experience in conceptualizing, implementing, and thoroughly evaluating advanced AI-based systems.  Have experience with the complete machine learning pipeline, from collecting and annotating data, to evaluating model architectures, and iteratively training and tuning models to meet performance requirements.  Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally.  Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring.  Have developed or implemented AI applications in defense and broadly understand defense specific use cases.   Note: We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarized in a few bullet points. Nice to Have Designed, developed, evaluated state of the art AI methods on edge devices with limited compute resources and led their end-to-end product delivery Experience with simulators, emulators, or synthetic data generators A US security clearance at the Secret or above level  Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defense industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practice responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking A generous compensation and benefits package (in addition to base salary) that includes, but may not be limited to, insurance coverage (medical and travel), flexible paid time off, paid holidays, and remote and/or hybrid work available depending on position. All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated or superseded from time to time.   #LI-DNI   Helsing is an Equal Opportunity Employer. We will consider all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetics, or any other characteristic protected by applicable federal, state, or local law.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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We are looking for the bestUMOS ONE은 현대자동차그룹의 글로벌 소프트웨어(SW)센터인 포티투닷(42dot)의 자회사로, UMOS (Urban Mobility Operating System) 사업을 전개하는 기업입니다. '모든 것이 스스로 움직이고 연결되는 세상'이라는 비전 아래, 미래 도심형 모빌리티 서비스의 시작부터 끝까지 전 과정을 아우르는 통합 플랫폼을 개발하고 있습니다.주요 솔루션으로는 모빌리티 서비스 'TAP!', 차량 관제/운영 시스템 'Pleos Fleet', AI 기반 운송 관리 시스템 'Capora' 등이 있으며, SDV(Software Defined Vehicle) 기반 기술의 상용화를 이끌며 미래 모빌리티 서비스의 중심을 이끌고자 합니다. * 본 채용건은 포티투닷 채용이 아닌 자회사 UMOS ONE 채용입니다. Why join UMOS ONE빠른 실행력으로 판을 바꿀 당신을 기다립니다!우리는 지금, ‘TAP!(탭)’ 모빌리티 서비스부터 차량 운영 시스템 Pleos Fleet, AI 기반 운송관리 시스템 Capora까지 – SDV(Software Defined Vehicle) 기반 기술을 현실로 만들고 있습니다. 빠르게 변화하는 시장 속, 복잡한 문제를 날카롭게 분석하고 정확한 솔루션으로 밀어붙이는 실행력 있는 동료가 필요합니다.함께 크는 팀, 같이 가는 성장UMOS ONE의 문화는 단순한 협업을 넘어, 서로의 성장을 진심으로 응원하는 팀워크에 기반합니다. 혼자 잘하는 것보다 함께 잘하는 팀을 만드는 것을 목표로 치열하지만 따뜻한 분위기 속에서, 성장 욕심 많은 사람들끼리 시너지를 내며 진짜 재미있는 도전을 이어나갈 동료를 모십니다.ResponsibilitiesAgentic AI 시스템 설계 및 개발UMOS 플랫폼의 자율적 의사결정 시스템 (Agentic AI System)의 핵심 아키텍처 및 모듈 설계AI 기반 라우팅, 디스패칭, 예측 모델을 실제 서비스 운영 로직으로 통합하는 에이전트 시스템 개발Mobility 및 Logistics 운영 환경의 동적 변화에 실시간으로 반응하고 최적의 결정을 내리는 SW 로직 구현지식 그래프 (Knowledge Graph) 기반의 정보를 활용하여 에이전트의 의사결정 능력 강화에이전트 시스템의 안정성과 확장성을 보장하기 위한 분산 시스템 설계 및 운영테스트 및 검증 환경 구축Agentic AI 시스템의 복잡한 로직 및 의사결정 과정을 검증하기 위한 시뮬레이션 및 테스트 환경 개발운영 중인 에이전트 시스템의 성능, 행동, 안전성을 모니터링하고 분석하는 툴 개발Qualifications5년 이상의 백엔드 시스템 또는 Agentic AI 시스템 개발Java, Kotlin, Go, Python 등 주력 백엔드 언어에 능숙하며, 객체 지향 설계 (OOP) 및 디자인 패턴에 대한 이해가 높은 분Agentic AI, Multi-Agent System, Optimization Logic 등 지능형 시스템 설계에 대한 관심 및 이해RESTful API, MCP, A2A 설계 및 서비스 통합 경험Preferred QualificationsAgentic Frameworks (예: LangChain, CrewAI 등) 또는 관련 기술 스택 연구 및 적용 경험최적화 문제 (Optimization Problem) 해결을 위한 알고리즘 설계 및 SW 구현 경험Knowledge Graph 또는 Graph Database의 서비스 레벨 연동 경험클라우드 기반 Microservices (MSA) 환경에서 Kubernetes/Docker를 활용한 운영 경험Mobility, Logistics 등 실시간 동적 시스템 도메인 서비스 개발 경험시스템 시뮬레이션 또는 모델 검증을 위한 SW 개발 경험Interview Process서류전형 - 코딩테스트 - 1차면접 (1시간 내외) - 2차면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information근무지: 서울 서초구 신논현역 부근본 채용의 입사는 자회사 UMOS ONE 으로 입사 진행 됩니다.UMOS ONE은 자체 Employee Engagement Program을 제공합니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.UMOS ONE은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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Zeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You’ll Do:Design, develop, test, and deploy robust and scalable software solutions for counter-drone systems.Collaborate with cross-functional teams, including hardware engineers, data scientists, and subject matter experts, to define system requirements and architecture.Implement algorithms for drone detection, tracking, identification, and mitigation.Optimize software for real-time performance and resource efficiency in embedded and distributed environments.Participate in code reviews, contribute to architectural discussions, and maintain high code quality standards.Troubleshoot and debug software issues, ensuring system reliability and performance.Stay up-to-date with emerging technologies and industry best practices in software development and counter-drone capabilities.What You’ll Need:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.Proven experience in software development, preferably in a defense, aerospace, or security-related domain.Proficiency in one or more programming languages such as C++, Python, or Java.Strong understanding of data structures, algorithms, and object-oriented design principles.Experience with embedded systems, real-time operating systems (RTOS), or distributed systems is a plus.Familiarity with signal processing, computer vision, or machine learning concepts is highly desirable.Excellent problem-solving skills and a strong analytical mindset.Ability to work effectively in a fast-paced, collaborative team environment.U.S. citizenship is required due to government contract requirements.Preferred SkillsExperience with sensor integration (e.g., radar, optical, acoustic).Knowledge of communication protocols and networking.Familiarity with cybersecurity principles and secure coding practices.Experience with Agile development methodologies.

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We are looking for the bestUMOS ONE은 현대자동차그룹의 글로벌 소프트웨어(SW)센터인 포티투닷(42dot)의 자회사로, UMOS (Urban Mobility Operating System) 사업을 전개하는 기업입니다. '모든 것이 스스로 움직이고 연결되는 세상'이라는 비전 아래, 미래 도심형 모빌리티 서비스의 시작부터 끝까지 전 과정을 아우르는 통합 플랫폼을 개발하고 있습니다.주요 솔루션으로는 모빌리티 서비스 'TAP!', 차량 관제/운영 시스템 'Pleos Fleet', AI 기반 운송 관리 시스템 'Capora' 등이 있으며, SDV(Software Defined Vehicle) 기반 기술의 상용화를 이끌며 미래 모빌리티 서비스의 중심을 이끌고자 합니다. * 본 채용건은 포티투닷 채용이 아닌 자회사 UMOS ONE 채용입니다. Why join UMOS ONE빠른 실행력으로 판을 바꿀 당신을 기다립니다!우리는 지금, ‘TAP!(탭)’ 모빌리티 서비스부터 차량 운영 시스템 Pleos Fleet, AI 기반 운송관리 시스템 Capora까지 – SDV(Software Defined Vehicle) 기반 기술을 현실로 만들고 있습니다. 빠르게 변화하는 시장 속, 복잡한 문제를 날카롭게 분석하고 정확한 솔루션으로 밀어붙이는 실행력 있는 동료가 필요합니다.함께 크는 팀, 같이 가는 성장UMOS ONE의 문화는 단순한 협업을 넘어, 서로의 성장을 진심으로 응원하는 팀워크에 기반합니다. 혼자 잘하는 것보다 함께 잘하는 팀을 만드는 것을 목표로 치열하지만 따뜻한 분위기 속에서, 성장 욕심 많은 사람들끼리 시너지를 내며 진짜 재미있는 도전을 이어나갈 동료를 모십니다.Responsibilities클라우드 환경에서 동작하는 확장성 높은 백엔드 서비스의 설계 및 개발AI 기반 기능(가격 예측, 경로 최적화, 자동화 서비스 등)을 위한 백엔드 및 알고리즘 개발외부 파트너 및 기업 고객과의 안정적인 B2B API 연동 개발기능 요구사항 분석 및 API 인터페이스 구조 설계서비스 성능 모니터링 및 구조적 개선을 위한 지속적 리팩터링코드 리뷰 및 기술적 의사결정에 참여하여 품질 향상 기여클라우드·컨테이너 기반 환경에서 운영되는 서비스의 안정성·고가용성 확보QualificationsJava/Kotlin 및 Spring Boot 기반 웹 애플리케이션 개발 경험 5년 이상AWS 기반 인프라와 Kubernetes(K8S) 환경에서의 서비스 개발·운영 경험 3년 이상SQL 및 NoSQL 데이터베이스 모델링·운영 경험 3년 이상Redis, Kafka 등 분산 환경 기반 메시징/캐시 시스템 활용 경험Git, Jira 등 협업 도구 활용 및 CI/CD 기반 개발 경험RESTful API 개발 및 대규모 서비스 운영 경험Native SQL 활용 능력 및 데이터 구조·쿼리 최적화 경험Preferred Qualifications대규모 사용자(B2B2C 등)를 대상으로 한 서비스 아키텍처 설계 및 운영 경험서비스 자동화 또는 백엔드 알고리즘 개발 경험고트래픽 환경에서의 시스템 최적화 및 고가용성 아키텍처 구축 경험모바일 앱 또는 SDK와의 연동 API 개발 경험SaaS/PaaS 형태의 서비스 설계 및 개발 경험WebSocket, WebRTC 등 실시간 통신 기반 서비스 개발 경험gRPC 기반 서비스 설계 및 구축 경험클라우드 기반 컨테이너 오케스트레이션 및 MSA 운영 경험LLM, NLP, Chatbot 등 AI 기술을 활용한 기능 개발 경험React.js 등 프런트엔드 기술에 대한 이해 또는 협업 경험Interview Process서류전형 - 코딩테스트 - 1차면접 (1시간 내외) - 2차면접 (3시간 내외) - 최종합격전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다.Additional Information근무지: 서울 서초구 신논현역 부근본 채용의 입사는 자회사 UMOS ONE 으로 입사 진행 됩니다.UMOS ONE은 자체 Employee Engagement Program을 제공합니다.이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다.모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.)인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다.국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다.장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다.UMOS ONE은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다.

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About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.About the RoleAs a Client Solutions Software Engineer, you’ll deliver client deployments that empower healthcare revenue cycle teams to work faster, more accurately, and with greater insight. You will work on the lifecycle and deployment of the ML models that power our products.You’ll work closely with client engagement, product, and R&D teams to ensure smooth deployments, ongoing production stability and expansion of our deployment platform.What You'll DoExecute implementation tasks for new deployments — from requirements analysis to configuration, testing, rollout, and support of production health.Work with client engagement teams to guide customers through technical onboarding, integration setup, troubleshooting, and data acquisitionContribute feedback and insights that shape product and platform improvementsWork closely with R&D engineering teams to build robust scalable client solutions Skills & QualificationsBachelor's degree in Computer Science, Engineering, or similar3+ years of professional Python experienceComfortable working with SQL, relational databases, APIs, and ETL pipelinesStrong communication and interpersonal skills with meticulous attention to detailNice to havesFamiliarity with FastAPI, SQLAlchemy, Postgres.Proficiency in Docker, Kubernetes, AWS.CI/CD experience with GitHub Actions.Experience with healthcare data exchange (FHIR, HL7, EDI)Frontend experience (React)What We OfferUnlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensationBased on market data and other factors, the salary range for this position is $120,000-$150,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

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Catio is building the world’s first AI-powered Copilot for Tech Architecture—helping CTOs, architects, and developers plan high-ROI architectures, modernize and optimize their tech stacks, and make faster, smarter decisions using AI-driven intelligence. Backed by top-tier VCs and led by industry experts in AI, cloud, and enterprise architecture, we aim to democratize the intelligence and know-how for designing, evaluating, and evolving world-class tech stacks across industries worldwide.The Role: Senior Backend EngineerThis is a high-impact, deeply technical individual contributor role where you’ll be designing and building the intelligent backend systems that power Catio’s AI-first platform for cloud-native architecture planning. You’ll be working at the intersection of distributed systems, data pipelines, and ML infrastructure to power our agentic AI recommendations and architecture insight workflows.This is not your average backend role—it demands systems thinking, architectural curiosity, and a passion for enabling deep visibility and expert automation for modern tech stacks. You’ll help bring to life our vision of becoming the go-to Copilot for tech stack architecture, by contributing to the intelligence layer that understands infrastructure, models system behaviors, and suggests improvements that drive engineering and business ROI.We’re looking for a rising star IC—someone who is technically rigorous, thrives in ambiguity, and wants to own meaningful product and platform depth from day one. If you’re someone who has built 0→1 systems, consistently raised the bar in engineering quality, and believes in the power of great tooling for tech leaders, this is your platform. 🚀What You’ll Do:Build scalable backend systems powering our observability, architecture modeling, and recommendation engines—leveraging data pipelines, microservices, and system modeling techniques.Integrate AI/ML workflows by collaborating with AI engineers to embed LLM-based and multi-agent architecture intelligence within the platform, enabling rich architecture recommendations and generative planning.Contribute to core architecture capabilities: Help identify key architectural patterns and best practices, build backend services that reflect architecture decisions and evolution, and ensure Catio provides actionable visibility for our users.Optimize performance and maintainability: Implement monitoring, fault-tolerant workflows, and observability layers for mission-critical services.Collaborate cross-functionally: Work with product managers, AI researchers, and technical leadership to translate requirements into robust platform capabilities.Learn and inform: Contribute to a high-performing engineering culture by sharing learnings and taking initiative to inform other team members where relevant.What You Bring:4+ years of experience in backend engineering at top-tier startups or technology companies, although we are not opposed to less experienced candidates with outstanding expertise.Proven track record of building scalable, production-grade systems, ideally in 0→1 product environments.Expertise in modern backend languages and frameworks (Go, Python preferred), with a passion for clean, idiomatic, maintainable code.Deep knowledge of distributed systems and microservices architectures, with practical familiarity in observability and DevOps tooling.A systems-thinking mindset and a passion for solving architecture and infrastructure challenges—especially for the cloud-native space.Strong aptitude for performance tuning, debugging, and technical architecture design.Demonstrated ability to leverage AI-assisted development (e.g. Cursor, ChatGPT, Claude Code), with an openness to leveraging emerging technologies. A high-trust personality with a growth mindset—able to collaborate across teams, share context, and own outcomes.Academic strength in Computer Science or related field; graduate-level education is a plus.Shape the Future with CatioJoin a world-class team of AI, engineering, and business leaders from Splunk, Atlassian, Dropbox, and more to build a category-defining platform.At Catio, we offer top-tier compensation for startups at our stage, ensuring highly competitive salaries along with significant equity in a rapidly growing, VC-backed company. We are also committed to fostering an inclusive and diverse workplace and welcome applicants of all backgrounds and identities.Join us and help revolutionize how companies plan and optimize their tech stacks using AI-driven intelligence!

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are seeking a Senior Software Engineer - Network to support webAI’s Public Sector initiatives focused on secure, distributed, and resilient AI infrastructure. This role involves deep systems level engineering across Rust, Go, Swift, Python, and C++ environments to integrate our distributed AI technology into complex, security sensitive networks used by government and enterprise customers.You will design and implement advanced synchronization and networking systems that enable reliable AI operations across heterogeneous environments, from edge devices to cloud isolated government systems, while upholding the highest standards of performance, reliability, and data privacy. Responsibilities:Design, build, and maintain production grade distributed and decentralized systems for secure AI deployment in government environments.Develop and integrate Rust based networking and data synchronization components with systems written in Go, Swift, Python, Java, and C++.Implement and optimize network protocols and routing mechanisms, including NAT traversal, VPNs, and multi protocol mesh topologies.Architect robust data synchronization frameworks using content addressable storage, Merkle trees, CRDTs, and erasure coding.Develop cross platform networking solutions for iOS, Android, and heterogeneous device environments.Lead performance tuning, debugging, and optimization of distributed software under resource constrained and intermittent connectivity conditions.Ensure security first design through threat modeling, secure key management, and integration of cryptographic primitives and protocols.Collaborate with MLOps, Infrastructure, and Security teams to deploy and integrate AI components in restricted or air gapped systems.Contribute to cross functional architectural design discussions and documentation for internal and external (public sector) stakeholders.Maintain rigorous testing, observability, and validation practices to ensure system reliability and compliance readiness.Qualifications:Active US Security clearance or eligibility and willingness to obtain a US Security clearance5+ years of professional experience Strong proficiency in Rust, with experience bridging Rust to other languages (Go, Swift, Python, C++, or Java) via FFI or APIs.Deep knowledge of networking protocols and architectures, including routing, NAT traversal, mesh networking, and multi protocol support.Proven experience with data synchronization and distributed consensus techniques, such as Merkle DAGs, CRDTs, and content defined chunking.Strong algorithmic and data structure skills, especially for distributed or networked environments.Experience building software for cross platform and mobile environments (iOS, Android) with attention to performance and power constraints.Expertise in security first design, including encryption, key management, and mitigation of adversarial threats.Experience with applied cryptographic protocols and offline first or intermittently connected system design. Preferred SkillsExperience with peer to peer or decentralized networking frameworks.Familiarity with federated learning, privacy preserving AI, or edge based computation.Exposure to government compliance and security frameworks (e.g., FedRAMP, NIST 800 53, DISA STIGs).Experience in cross team collaboration on complex, multi language systems.Strong technical writing and communication skills for documentation and collaboration with security cleared teams.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation.You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systemsArchitect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performanceDevelop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimizationWork closely with Product, Research, and Design to translate requirements into scalable technical solutionsDrive 0→1 infra development through rapid prototyping, experimentation, and iterative improvementsContribute to the long-term technical strategy and roadmap for the monetization infra stackEnsure high engineering rigor through excellent testing, documentation, observability, and operational best practicesBuild for safety, privacy, fairness, and policy alignment from first principlesCollaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient You might thrive in this role if you:Have 10+ years of experience building and operating large-scale distributed systemsHave experience designing mission-critical systems with demanding reliability, performance, and correctness requirementsThink in systems—architecture, data flows, operational concerns, observability, and long-term maintainabilityAre comfortable defining technical direction in ambiguous 0→1 environmentsEnjoy working cross-functionally to shape product requirements and system capabilitiesCommunicate clearly, reason holistically, and make decisions grounded in user needs and long-term system healthBonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domainsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Engineering Manager to lead a high-performing team that will build the core monetization and ads systems at OpenAI. This is a foundational role responsible for hiring, developing, and leading a world-class engineering team while shaping the technical strategy and execution for one of the company’s most impactful new initiatives.You’ll own the roadmap for 0→1 monetization infrastructure, to build the most robust, safe, and scalable platform for creating, managing, and running ads. You will collaborate deeply with product, design, and research to define the future of monetized AI experiences—and ensure these systems uphold OpenAI’s highest standards for safety, privacy, and policy alignment.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Build, lead, and develop a diverse, high-performing engineering full-stack teamDefine and own the technical strategy, roadmap, and execution plan for OpenAI’s core monetization and ads systems. Specifically build APIs and advertiser facing products that help them create, manage and measure their ads.Create integrations with partners and create enterprise class products.Guide the architecture of products and systems that operate at massive scale and require high usability, reliability, privacy, and performance.Collaborate with Product, Research, and Design partners to define product requirements, evaluate tradeoffs, and bring new experiences to marketDrive 0→1 product development through rapid prototyping, experimentation, and iterative deploymentEnsure your team operates effectively, maintains high engineering rigor, and consistently delivers against ambitious goalsCoach and mentor engineers to elevate their impact and grow to their full potentialBuild processes and culture that enable fast learning, high trust, and responsible innovationEnsure all monetization systems meet the highest standards for safety, privacy, fairness, and policy complianceYou might thrive in this role if you:Have 7+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environmentsHave 10+ years of experience building consumer, enterprise, or ads products at large scaleHave a track record of building and scaling critical products with strong usability, reliability, performance, and safety constraintsAre skilled at defining technical roadmaps, setting long-term direction, and navigating ambiguous product spacesCare deeply about people leadership, coaching, and helping engineers achieve peak performanceBring strong product intuition and can work across Product, Design, and Research to shape new user experiencesThrive in 0→1 environments where strategy, architecture, and execution all need to be defined from scratchCommunicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainabilityBonus: Bring experience collaborating in ads systems, marketplaces, or other monetization-heavy domainsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Engineering Manager to lead a high-performing team that will build the core monetization and ads systems at OpenAI. This is a foundational role responsible for hiring, developing, and leading a world-class engineering team while shaping the technical strategy and execution for one of the company’s most impactful new initiatives.You’ll own the roadmap for 0→1 monetization infrastructure, to build the most robust, safe, and scalable infra. You will collaborate deeply with product, design, and research to define the future of monetized AI experiences—and ensure these systems uphold OpenAI’s highest standards for safety, privacy, and policy alignment.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Build, lead, and develop a diverse, high-performing engineering team working across backend, full-stack, and systems engineeringDefine and own the technical strategy, roadmap, and execution plan for OpenAI’s core monetization and ads systemsGuide the architecture of distributed systems that operate at massive scale and require high reliability, privacy, and performanceCollaborate with Product, Research, and Design partners to define product requirements, evaluate tradeoffs, and bring new experiences to marketDrive 0→1 product development through rapid prototyping, experimentation, and iterative deploymentEnsure your team operates effectively, maintains high engineering rigor, and consistently delivers against ambitious goalsCoach and mentor engineers to elevate their impact and grow to their full potentialBuild processes and culture that enable fast learning, high trust, and responsible innovationEnsure all monetization systems meet the highest standards for safety, privacy, fairness, and policy complianceYou might thrive in this role if you:Have 7+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environmentsHave 10+ years of experience building, scaling, and operating distributed systems at large scaleHave a track record of building and scaling critical systems with strong reliability, performance, and safety constraintsAre skilled at defining technical roadmaps, setting long-term direction, and navigating ambiguous product spacesCare deeply about people leadership, coaching, and helping engineers achieve peak performanceBring strong product intuition and can work across Product, Design, and Research to shape new user experiencesThrive in 0→1 environments where strategy, architecture, and execution all need to be defined from scratchCommunicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainabilityBonus: Bring experience collaborating in AI/ML, ads systems, marketplaces, or other monetization-heavy domainsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Senior Backend Engineer, Applied AIWhy Clarium?Our mission is to accelerate healthcare transformation through our AI-powered platform. We strive toward a future where hospitals are at the cutting edge of technology, operations and efficiency. Healthcare workers are inundated with endless tasks, manual processes and often unintuitive tools. Clarium is transforming healthcare by empowering providers with AI-powered software with intelligent workflow automation and actionable insights.We envision a future where all hospitals leverage our collaborative data platform to automate their daily operational and administrative tasks, only surfacing high complexity issues that truly require their expertise.We're backed by some of the biggest and most innovative investors in the world including: Northzone, General Catalyst, AlleyCorp, 1984 Ventures, Alumni Ventures, and others.Role OverviewI'm Dr. Marek Sirendi, Head of AI at Clarium! Since this role will work closely with me, rather than a generic job description, I thought I'd tell you exactly what I'm looking for.As we continue scaling our AI capabilities, I'm looking for a Senior Backend Engineer to join our Applied AI team. You'll collaborate with engineering, data, and product teams to build secure, scalable, and high-performance AI applications that improve healthcare supply chain operations with data-driven insights. This is an opportunity to have real impact, building systems that directly help healthcare providers work more efficiently.ResponsibilitiesArchitect and develop robust backend systems to integrate with proprietary LLM APIsTake ownership of critical system components, from backend APIs to AI agent implementationDesign and develop scalable back-end services using Python and FastAPICollaborate with internal product managers and customers to align product development with real-world needsRequirementsDemonstrated experience in building and deploying AI applicationsUnderstanding of backend architecture principles and AI application design best practicesExperience working with RESTful APIs and integrating third-party servicesStrong understanding of database technologiesSelf-motivated with excellent problem-solving and communication skillsNice-to-HavesSupport infrastructure management using Kubernetes and TerraformPrior experience at an early-stage startupSkills and Tools You Will UseNeed to Know:Python, FastAPI, SQL, RESTful APIsNice to Know:LLM APIs (OpenAI, Anthropic), Kubernetes, TerraformWhat Success Looks LikeAt Clarium we love to outline a 90-day success plan in our Job Descriptions but understand this can of course change based on company priorities or the person we hire. We hope this will at least give you an idea of what to anticipate.At 1 Week:Complete onboarding, meet the team, and understand our codebase architecture and AI systems.At 1 Month:Ship your first feature or improvement to our AI backend systems. Participate actively in sprint planning and code reviews.At 3 Months:Own a significant component of our AI infrastructure. Demonstrate impact through measurable improvements in system performance, reliability, or capability.What You Get At ClariumIncentive Stock Options proportionate to salaryFully remote workUnlimited PTOTop-tier health, vision, and dental benefitsOur Hiring ProcessApplyWe read every application and make our best effort to reply to everyone. Please read the job description carefully. We love when people strive but if you do not meet more than 75% of the requirements, we are less likely to respond. Please take your time on any application questions—we view them as your opportunity to stand out.Exploratory InterviewGoal: High-level qualifications & mutual fit. 30-minute video interview with a team member who knows the product and role well. We make sure to preserve 10 minutes for your questions.Hiring Manager InterviewGoal: Deeper understanding of team needs and your qualifications. 60-minute video interview with the hiring manager. You will get a general idea of topics in advance.Technical Interview and Values InterviewGoal: Deep dive into your skills, knowledge, and problem solving. 1-hour technical exercise. This is a realistic interview with no abstract puzzles. We will send you information in advance and do a live exercise together. Screen sharing is expected.Values Goal: Meet more of the team and understand what values are important to you. 60-minute video interview with 2 team members. We will provide guidance in advance.CEO InterviewGoal: Spend 30 minutes getting to know our CEO to help decide if this is a great mutual fit for everyone involved.

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.If you'd like to build the world's best AI cloud, join us.*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.What The Role is AboutSI Partnership is Lambda’s missing function team. We’re a part of the Product Engineering organization — we work on customer-facing APIs and UIs, contribute to Lambda’s core product offerings and developer tooling. SI Partnerships charter is to enable world’s largest Superintelligence companies to successfully integrate their workloads on Lambda’s platform, and make all our tooling and improvements available to all Lambda’s enterprise customers as part of our core Cloud Platform.You’ll find yourself working directly with engineering and business teams across Lambda and our largest customers, on the cutting edge features that the industry at large is just starting to figure out.What You’ll DoBuild end to end features for Lambda Cloud.Contribute both frontend and backend code to existing and new features.Collaborate with Lambda Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut through the stack.Work with a team of Product Managers to design, scope, and deliver features that are critical to our most important customer success, without compromising on our product quality.Collaborate with Lambda Support and other Operations teams to deliver the best possible experience for our customers.Partner directly with superintelligence customer’s engineering teams.Own production features and systems, participate in incident response rotations. Design and implement observability and maintenance processes for the new features we build.YouExperience in modern web application frontends: responsive web apps using TypeScript, React (or equivalent experience in Vue or Svelte), HTML and CSS, and Vite.Backend experience: Business-critical services using Python, Unix/Command line, Django or FastAPI, Postgres.Proven experience owning complex features end to end, from defining the problem with Product, to GA release and measuring success criteria, in highly ambiguous environments, under tight deadlines.Proven experience to communicate trade offs in scoping and timelines.Experience designing, implementing, and maintaining developer-facing APIs and documentation.Additional Core ExperienceCI/CD: Automation around testing and deploymentReliability & Observability: Logging, alerting, and building highly available systemsCloud Native Services: AWS, Okta, Cloudflare, etc.Nice-to-HavesExperience with KubernetesInfrastructure as Code (Terraform, Atlantis, Crossplane, etc.)Experience in ML, AI, or data scienceApplication security and web hardeningEngineering leadership or mentorship experienceSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, with 500+ employees, and growing fastOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: https://lambda.ai/careersWe offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary We are seeking experienced Senior Software Engineers to join our Cloud Deployments team. In this role, you will join a new team dedicated to deepening and expanding our integration with major cloud providers, ensuring seamless, native, and scalable deployment of our AI products (AI Studio, APIs, SDKs, etc.) within their ecosystems. You will work closely with hyperscalers engineering teams, internal stakeholders (science, product, program management), and external partners to define standards, build integrations, and automate deployment workflows. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and influence cloud providers’ roadmaps. What you will do • Contribute to Cloud Provider Integrations: Execute technical strategies for integrating Mistral’s products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure.• Build Scalable Integrations: Help develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams.• Collaborate with Hyperscalers: Work with cloud providers’ engineering teams to define interfaces, standards, and best practices for AI model deployment and integration.• Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral’s AI Studio suite directly from cloud providers’ platforms, with a focus on simplicity, reliability, and performance.• Cross-functional Collaboration: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs.• Automate and Optimize: Contribute to building tooling and processes to automate packaging, deployment, and monitoring of Mistral’s products across cloud environments.• Technical Advocacy: Participate in technical discussions with cloud providers, helping to influence their roadmaps and ensure our products are optimized for their platforms. About you • 5+ years of relevant professional experience in complex infrastructure environments.• Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems.• Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform) .• Ability to work with product, engineering, and business teams, as well as external partners.• Ability to communicate with influence What we offer💰 Competitive salary and equity.🚑 Healthcare: Medical/Dental/Vision covered for you and your family.👴🏻 Pension : 401K (6% matching)🏝️ PTO : 18 days 🚗 Transportation: Reimburse office parking charges, or $120/month for public transport🏀 Sport: $120/month reimbursement for gym membership🥕 Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)🌎 Visa sponsorship 🤝 Coaching: we offer BetterUp coaching on a voluntary basis

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).About the RoleWe are looking for customer-focused software engineers to build effective custom software that leverages OpenAI’s APIs to solve real customer problems. As an FDSWE, you will work with our customers and OpenAI Forward Deployed Engineers to design and implement scalable solutions that solve their most difficult problems. You will design abstractions to solve customer problems, and then use them to scale our speed and quality of delivery across all Forward Deployed engagements. You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also work with our Research and Applied Product and Engineering teams to provide insightful customer feedback.This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected.In this role, you will:Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedbackContribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.You’ll thrive in this role if you:7+ years of professional full stack engineering experience (excluding internships) in relevant roles at tech and product-driven companies - customer-facing experience is highly desirableFormer founder, or early engineer at a startup who has built a product from scratch is a plusExperience with relational databases like Postgres/MySQLHave a bias for action and willingness to work iteratively with your customers to deliver the right solution that solves their problem.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.