Top AI Software Engineer Jobs Openings in 2025

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About the TeamAt OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.In This Role, You Will:Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.You Might Thrive In This Role If You:Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.About the RoleAs a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.Improve performance, resilience, and scalability of core services that power customer-facing applications.You might thrive in this role if you:Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 RoleWe’re looking for a full-stack engineer to design and deliver end-to-end product features that connect client applications with scalable cloud services. You’ll work across the entire stack—mobile, embedded, and web apps, as well as backend systems—to build fast, reliable experiences that balance real-world constraints with excellent UX.You’ll collaborate with designers and cross-functional teams to prototype solutions, then take them from concept to production. The ideal candidate has strong product instincts, understands the tradeoffs between client and cloud systems, and cares deeply about building delightful user experiences.Core ResponsibilitiesPartner with designers and product teams to create intuitive, performant experiences.Architect APIs, data flows, and sync mechanisms that perform under real-world conditions.Continuously simplify, refine, and optimize performance across client and server.Balance rapid iteration with long-term system quality and maintainability. Minimum Qualifications7+ years of professional software engineering experience across both client and server environments.Strong understanding of constraints in client applications (e.g., memory, power, offline) and cloud systems (e.g., latency, scalability).Proven track record of building and shipping user-facing products end-to-end.Experience collaborating with designers and cross-functional teams.Comfortable working from zero-to-one on early-stage products and iterating quickly.Preferred QualificationsExperience with cloud-connected systems and applied AI technologies.Familiarity with mobile or embedded systems, as well as modern backend frameworks.Background in instrumentation, analytics, and performance tuning.Strong design collaboration and product intuition.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEWe’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Model Performance team:Baseten Embeddings Inference: The fastest embeddings solution availableThe Baseten Inference StackDriving model performance optimizationRESPONSIBILITIESCore Engineering ResponsibilitiesDesign and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routingWrite and optimize code using CUDA, PTX assembly, and architecture-specific techniquesApply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlapPerformance & InnovationImplement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlapIdentify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch ProfilerCollaborate with research teams to productionize theoretical advancementsImpact & CollaborationContribute to internal and open-source GPU librariesPresent technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)REQUIREMENTS1–5 years of experience in CUDA developmentStrong understanding of GPU architecture and programming paradigms:Memory hierarchy (global, shared, registers, L1/L2 cache)Thread/block/grid organizationSynchronization techniques and race condition mitigationProficient in C++ and GPU performance profiling toolsKnowledge of:CUDA C++ APIMemory access patterns and bandwidth optimizationNumerical precision and quantization strategiesModern GPU features (e.g., tensor cores, async operations)NICE TO HAVEExperience with Transformer models and attention optimization (e.g., Flash Attention)Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUBBackground in GEMM tuning and distributed/multi-GPU computeContributions to open-source GPU projectsResearch publications or conference presentations on GPU performanceBENEFITSCompetitive compensation package (Flexible PTO, 401k, covered healthcare premiums).This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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Who are weEma, a Series A startup founded by serial entrepreneurs and ex-Google, Coinbase, and Okta executives, is revolutionizing the AI landscape to empower employees across enterprises, unlocking their creativity and productivity. Backed by top investors and angels, we are transforming the way businesses operate. Currently in stealth mode in Silicon Valley, Ema is seeking a highly talented and experienced Full Stack Engineer with a focus on front-end development to join our founding team. The ideal candidate will have a passion for building captivating user experiences while also contributing to back-end architecture and API integrations. This is a unique opportunity to make a substantial impact on a cutting-edge product.In this role, You Will:Design, develop, and implement exceptional user interfaces for web applications, using modern web technologies such as HTML, CSS, and JavaScript.Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes.Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems, as well as with third-party services.Build, test, and deploy web applications using a variety of web development frameworks, such as React, Angular, Vue.js, or Next.js.Troubleshoot and resolve UI-related issues, guaranteeing a consistent and optimal user experience across multiple platforms and devices.Build end-to-end writing clean, maintainable, and well-documented code, adhering to established coding standards and deploy/debug using platforms like Vercel.Ideally, you'd have:Bachelor's degree in Computer Science, Web Development, or a related field.A minimum of 5 years of professional experience in UI engineering, with a focus on API integration, data visualization, and web app development.Strong proficiency in HTML, CSS, and JavaScript, as well as experience with modern front-end frameworks, such as React, Angular, Vue.js or Next.js.Experience with RESTful and gRPC APIs and API integration, as well as familiarity with JSON, XML, and OAuth.Knowledge of back-end technologies, such as Python, and experience with server-side frameworks, such as FastAPI, is a plus.Familiarity with version control systems, such as Git, and build/deploy platforms such as Vercel.Excellent problem-solving and analytical skills, with a keen eye for user experience and a strong commitment to delivering the highest-quality user experience.Strong communication and collaboration skills, with the ability to work effectively both independently and as part of a team.Experience working with global teamsEma Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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Gauss Labs is looking for passionate, motivated Senior Software Engineers to join the Software Engineering and AI Platform (SWAP) Team in Seoul.Since Gauss Labs is a hyper-growth start-up in the industry AI market, we are seeking someone passionate and fearless about exploring new opportunities and solving complex problems starting from the root cause while maintaining a higher standard for software quality.At SWAP, we build enterprise-level ML-based software products to solve some of the most challenging problems for our industry customers.We are looking for a hands-on, experienced software engineer with expertise and passion for complex problem solving. In this role, you will be fully responsible for the entire software development lifecycle—from individual product features to the complete product—while collaborating with other talented Software Engineers and AI Scientists. You will also work closely with product teams and customer engagement to understand customer requirements and incorporate their needs into the product.This role requires exceptional technical expertise, a deep understanding of computer science fundamentals, and experience building reliable, scalable, high-performance systems. Strong teamwork and communication skills are essential for collaborating with technical and business partners. ResponsibilitiesDesign, develop, and deploy a secure, reliable, and scalable ML-based software product to meet enterprise-level customers' requirementOwn end-to-end development, ensuring high standards in software design, coding, code reviews, automated testing, and deployment within CI/CD practicesParticipate in code and architectural reviews, and write technical documentation to ensure high code quality and maintainable systems across distributed engineering teamsOptimize and improve ML-based software components to fully leverage distributed system conceptsWork with the SRE team to identify and resolve technical challenges in the production environmentCollaborate with AI scientists to leverage algorithmic components in building effective solutions and productsPartner with project and program managers to understand product requirements and effectively address the customers' business challenges Basic QualificationsBachelor’s degree in Computer Science or related fields6+ years of professional experience in software development to build highly scalable, performant, and reliable software6+ years of programming with at least one programming language, such as Python, Java, C/C++, or RustProven track record of solving complex problems with strong foundational knowledge of DSA (Data Structures and Algorithms) and core CS principles (i.e., Operating Systems, Networking, Databases, etc.) Preferred QualificationsMaster's degree or PhD in Computer Science or related technical field.5+ years of experience with the full software development lifecycle (SDLC), including software design, coding, code review, automated testing, and deployment in CI/CD practicesProven experience building complex software systems that have been successfully delivered to customersHands-on experience with Kubernetes or container platforms in cloud environments(e.g., AWS, GCP, Azure, OpenStack, etc)Experience with large-scale data pipeline concept and tools (e.g., Hadoop, Impala, Spark, Flink, Airflow, Kafka, Redis, MongoDB, Cassandra, etc.)Experience with ML ops tools and framework(e.g., Ray, MLflow, Kubeflow, etc.)Experience working in cross-functional team environments, such as with product teams, customer engagement, or SRE/DevOps teams.Willingness to investigate complex problems thoroughly and identify root causesExcellent communication skills in both verbal and written forms, with proficiency in English

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Partner | Head of TechnologyJoin a rapidly growing AI startup helping businesses 10x, 10x faster.RoleTitle: Partner, Head of TechnologyCompensation: $160,000 - $200,000Location: RemoteCommitment: Full-timeBenefits: Health, Dental, Vision, and Insurance CoverageBonus: $20,000 bonus potential based on company performanceEquity: Senior Partner Level EquityAbout Ascendancy Ascendancy helps the world’s most ambitious companies grow through strategic, high-trust relationships. We combine AI-powered network intelligence with warm, organic outreach to get our clients in the room with the right people, faster. We’re well funded, projecting $2M in ARR for 2025 and on a clear path to $8M+ in 2026. This is a rare opportunity to join a high-growth startup that’s low-risk, high-impact, and offers meaningful ownership and responsibility from day one.Position’s Core FunctionThe Head of Technology will lead the creation of a first-of-its-kind Network OS: an AI-powered platform that maps, tracks, and activates human relationship capital at scale. This tool will give CEOs instant visibility into their networks, outperform LinkedIn for opportunity sourcing, surpass CRMs for warm intros, and offer richer, more meaningful connections than other relationship tracking platforms. It will visualize deep network graphs across VIP stakeholders—investors, board members, shareholders—and power Ascendancy’s mission to become one call away from every major global leader, investor, and Fortune 5000 CEO.ResponsibilitiesDesign and build robust backend services and APIs to power our core platformDevelop and maintain scalable data pipelines to support internal analytics and AI/ML applicationsManage and optimize Ascendancy’s data lake/warehouse architectureDesign data workflows that integrate and experiment with ML modelsEnsure high performance, security, and reliability across backend systemsLead infrastructure decisions, especially related to data governance and scalabilityBe a critical strategic thought-partner for developing Ascendancy’s long-term operations needsDesired Experience & QualificationsProficiency with Python, SQL, and modern backend frameworks (e.g., FastAPI, Django, Node.js)Experience with data pipeline tools (e.g., Airflow, dbt, Kafka, Spark, etc.)Comfortable working with cloud infrastructure (e.g., AWS, GCP, Azure)Solid understanding of relational and non-relational databasesInterest in AI/ML workflows (working with ML engineers, model training, or building inference pipelines)Extremely detail-oriented, adaptive, collaborative growth mindset, proactiveSolid organizational, analytical, logical reasoning, oral, and written presentation skillsComfortable and high stress, fast paced environmentDriven by a vision of technology that brings people closer—not further apart.

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About the TeamOpenAI’s People team aims to hire, engage, and retain world-class talent who will safely build and deploy universally beneficial Artificial General Intelligence (AGI). The People Systems team is an important subset of People Operations and is responsible for designing, building, and optimizing our HR technology to support a rapidly growing employee population.About the RoleWe are excited to hire an experienced Workday Integrations Engineer who will design and implement automated workflows across our HR systems landscape and work closely with our People Innovations (SWE) team. This partnership is crucial to designing systems that give our teams a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our internal work. Collaborative projects range from greenfield 0 -> 1 products like OpenHouse ( internal knowledge hub) to AI-powered automations and scalable recruiting tools.You’ll bring deep expertise in building and maintaining Workday integrations at scale. You should excel in problem-solving, requirements gathering, and engaging with stakeholders to drive improvements. You will supercharge our ability to deploy technical solutions quickly and ensure that our integrations are built with the security and robustness we owe our HR data. This role reports to our Head of People Systems.You’ll be responsible for:Designing and deploying robust Workday integrations across domains like payroll, comp, performance, and case management.Collaborating with cross-functional partners in People, Finance, and Engineering to scope, build, and test end-to-end solutions.Maintaining and optimizing existing integrations, ensuring data integrity, security, and compliance.Contributing to future-facing AI software development by integrating HR systems with internal tools and platforms.Establishing integration standards and best practices to scale with OpenAI’s rapid growth.We’re Seeking:5–10 years of hands-on Workday experience (EIB, Studio, Cloud Connect, Workday Extend, etc.)Strong hands-on experience in Workday technologies: Enterprise Interface Builder (EIB), Advanced Report Writer, Cloud Connect (PICOF, PECI, CCW, CCB), Business Process Framework, Configurable Security, Calculated Fields, Custom fields, XML/XSLT, Studio, BIRT Reporting & data analytics, Workday Extend.Proven ability to partner with both technical and non-technical stakeholders.Strong analytical, problem-solving, and troubleshooting skills.Experience integrating with other HR, Finance, or business systems.Familiarity with secure design practices and scalable architecture.Location and WorkplaceThis role is based in our San Francisco HQ or remote in the United States. Regular travel will be required for remote employees and we highly encourage candidates to consider relocating. We offer relocation assistance to new employees.Our offices use a hybrid work model: three days in the office per week with optional work from home on Thursdays and Fridays.Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We’re seeking exceptional multimedia and Android engineers to join a small, high-impact team dedicated to making Grok's real-time avatar products and mobile experiences the best in the world. You’ll shape cutting-edge mobile experiences, blending technical mastery with a keen product sense to deliver brilliance that resonates with users. An ideal candidate meets at least the following requirements: Expert in Kotlin, with deep knowledge of Jetpack Compose and the Android View system. Proficient in performance optimization—memory, CPU, GPU—using low-level tools to deliver blazing-fast systems. Experienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with AI, driven by a strong sense of product design and user needs. Skilled in concurrency and reactive programming (Coroutines, Flow) for responsive, real-time apps. Built high-throughput integrations with APIs (REST, gRPC) or AI model outputs, ensuring seamless data flow while aligning with product goals. Capable of owning complex features end-to-end, from architecture to Play Store deployment, with a focus on speed, scalability, and delivering measurable user value. Additionally, experience in any of the following may set you apart: Deep expertise in the Android ecosystem and related development tools (Android Studio, Gradle, etc.). Rust for working with our backend components. Media3 or ExoPlayer for real-time audio processing. A proven track record of shipping standout apps or features that demonstrate both technical excellence and exceptional product intuition. What You’ll Do Dream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile, balancing technical innovation with a deep understanding of user behavior and needs. Obsess over every pixel, animation, and interaction, ensuring the experience feels magical, seamless, and purposeful—delivering joy and utility in equal measure. Build blazing-fast, highly performant systems where every millisecond counts, while ensuring the product solves real user problems. Drive technical and product decisions, collaborating with AI researchers, designers, and engineers to deploy state-of-the-art models globally, with an eye toward maximizing user impact. Who You Are Technically Exceptional: You possess deep expertise in Android development, particularly with Kotlin. We seek individuals who operate at the highest levels of their craft. Efficient: You excel at delivering results swiftly, often in a fraction of the time others require. Speed is a core value at xAI—we must act decisively to succeed. Hardworking High Agency: You don’t wait for direction—you take initiative, propose bold ideas, and make things happen, both technically and from a product perspective. Product-Minded: You have a sharp product sense, with an ability to empathize with users, anticipate their needs, and translate that into features that delight and deliver value. Location You can work out of xAI’s Palo Alto or San Francisco office.  Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of 3 technical interviews: Coding assessment in a language of your choice. Systems hands-on: Demonstrate practical skills in a live problem-solving session. Project deep-dive: Present your past exceptional work to a small audience. Meet and greet with the wider team. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 a Full Stack Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience across the full stack, building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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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 a Full Stack Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience across the full stack, building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Cloud Engineering - Software Engineer Location: Remote (EU/Middle East/North Africa/North America/South America) Experience Level: 2+ years Teams Hiring: Reliability Engineering, Continuous Integration, Continuous Deployment, and Data Ingestion Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable. The Opportunity As a Software Engineer in our Cloud Engineering organization, you’ll work on one of four teams critical to the foundation and delivery of our platform: Reliability Engineering — Owns observability, incident response analytics, security & compliance enforcement, and service health insights. Continuous Integration — Builds and scales pre-integration pipelines, test infrastructure, and build systems to maintain developer velocity. Continuous Deployment — Manages CD pipelines, native app packaging, feature flagging, DR, and multi-cloud deployments. Data Ingestion (SF Integration) — Owns ingestion pipelines, SQL interfaces, billing, and resource provider framework bridging cloud and service layers. You’ll collaborate across engineering, product, and customer teams to build robust infrastructure and tools that enable high-velocity, high-confidence software delivery. You’ll also contribute to critical architectural decisions and champion reliability, efficiency, and simplicity in every layer of the stack. Who You Are & What You Bring You have 2+ years of hands-on software development experience. You’re language agnostic, comfortable working in whatever stack suits the problem best (e.g., Python, Go, Rust, etc.). You understand or are eager to learn cloud-native infrastructure: Kubernetes, containers, CI/CD systems, and infrastructure-as-code. You have a strong sense of ownership and engineering maturity—your code runs in production and you want it to stay up. You’re comfortable with ambiguity and thrive in environments where problems are not fully scoped. You care about developer experience and building the tooling that makes others faster and safer. You bring a security-first mindset to how infrastructure and systems are built. (Bonus: familiarity with compliance frameworks like SOC2, ISO 27001, etc.) You communicate clearly, seek feedback, and give it thoughtfully. You are interested in shared on-call responsibilities, after ramp-up, as part of a culture of ownership and operational excellence. Why Join RelationalAI Impact – You’ll help shape the platform that underpins data reasoning and intelligent systems at scale. Growth – We invest in our people. You’ll work alongside some of the most talented engineers in cloud, distributed systems, and AI infrastructure. Autonomy – You’ll have the trust and flexibility to explore, build, and lead from day one. Balance – We offer flexible working hours so you can find a rhythm that works for you and your life. RelationalAI is proud to be an equal opportunity employer. We welcome people of all backgrounds, experiences, and identities. We are committed to building a team that reflects the rich diversity of our customers and communities. The annual salary range for this position is $150,000 to $200,000. Actual compensation will be determined based on the candidate’s skills, qualifications, experience, and location. Please note that our compensation structure varies by region, and salary ranges may differ accordingly.Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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About the TeamThe Integrity White Hat team is responsible for proactively uncovering failure modes in OpenAI’s most advanced models, products and runtime systems before they reach the world. This small, high-impact group partners closely with research, safety teams and security to probe vulnerabilities, surface early warning signs of misalignment, and ensure that our models meet the highest standards of safety.About the RoleYou will be a founding member of the team and help shape the strategy and vision for how we ensure fast and safe deployment of more powerful models and product experiences. You’ll define the scope and methodology of adversarial evaluations, drive alignment between model development and safety, and ensure OpenAI remains at the forefront of proactive risk mitigation.We’re looking for someone who thrives at the intersection of research and safety, operate with high integrity and urgency, and are motivated by the mission to ensure AGI benefits all of humanity.In this role, you will:Define the strategic direction and methodology for adversarial testing—including empirical probing, stress-testing, and alignment-focused evaluations.Identify and characterize emergent risks in reasoning, instruction-following, agentic behavior, and other critical capabilities before they result in external incidents.Collaborate with external partners to extend the reach and rigor of the White Hat efforts.Operate with a lean and efficient structure, balancing in-house expertise with vendor support where appropriate.You might thrive in this role if you:Have a proven track record of leading White Hat initiatives for frontier models or complex AI systems.Bring deep familiarity with LLM behavior, post-training evaluation techniques, and AI safety research.Are highly attuned to failure modes in AI systems—e.g., sycophancy, jailbreaking, and harmful outputs—and can surface these before production.Prefer working in close proximity to research teams rather than commercial or sales-focused environments.Have experience building and scaling high-trust, high-performance technical teams.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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.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 xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the role We're looking for exceptional multimedia engineers and product thinkers who want to make Grok's realtime avatar products the best in the world. What You'll Do Make Grok's realtime avatar products fast, scalable, and reliable. Help push forward audio and gameplay research and deploy breakthrough innovations to millions of users. Obsess over every millisecond and byte, ensuring end-to-end quality and performance at scale across a rich suite of products and user platforms. Who You Are Well-versed in low-latency systems and protocols like WebSocket and WebRTC. Expert in Python, and preferably proficient in Rust. Some iOS experience preferable. In-depth knowledge and experience building high performance media processing pipelines. Obsessed with media quality, performance, and product experience. Tech Stack Python, Rust, WebSocket, WebRTC Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps: Deep dive coding challenge Meet and greet with the wider team Our goal is to complete the process within one week. All interviews will be conducted in person when applicable. Location The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role  We are looking for a Senior Software Engineer to join our Customer Experience application development team and contribute to the next step function growth phase. As a member of the engineering team, you will have the opportunity to design and build systems and features from the ground-up, have a big role to play in defining the direction of our product and mentor other engineers.  The ideal candidate will have a product-oriented mindset with a passion for technology and customer satisfaction. This engineer will play a critical role in the company's success by ensuring that software development efforts are aligned with customer needs and contribute to the company's overall growth and profitability. This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people.   If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. Responsibilities Design, implement, and maintain the backend services that make up the Metropolis parking platform.  Be a key part of the entire development lifecycle, including ideation and identifying requirements.  Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving.  Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features.  Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform.  Ensure that the systems we build are highly available and scalable.  Work directly with our partners and build solutions that seamlessly integrate their products with the Metropolis platform.  Required Qualifications  MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills.  6+ years of software engineering experience. Advanced level knowledge of Scala, Java or related language.    Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications.    Experience with microservices, event driven architectures, and related technologies and paradigms.  Deep understanding of Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD and related build/test/deploy processes.  Experience with database technologies, especially MySQL and Postgres  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Local to Santa Monica (Los Angeles), New York City, or Seattle areas  Preferred Qualifications  Hands-on experience with container technologies and “infrastructure as code” techniques  Work experience in innovative, high-growth environments    When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.    #LI-AR1 #LI-Hybrid  Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role  We are looking for a Senior Software Engineer to join our Customer Experience application development team and contribute to the next step function growth phase. As a member of the engineering team, you will have the opportunity to design and build systems and features from the ground-up, have a big role to play in defining the direction of our product and mentor other engineers.  The ideal candidate will have a product-oriented mindset with a passion for technology and customer satisfaction. This engineer will play a critical role in the company's success by ensuring that software development efforts are aligned with customer needs and contribute to the company's overall growth and profitability. This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people.   If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. Responsibilities Design, implement, and maintain the backend services that make up the Metropolis parking platform.  Be a key part of the entire development lifecycle, including ideation and identifying requirements.  Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving.  Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features.  Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform.  Ensure that the systems we build are highly available and scalable.  Work directly with our partners and build solutions that seamlessly integrate their products with the Metropolis platform.  Required Qualifications  MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills.  6+ years of software engineering experience. Advanced level knowledge of Scala, Java or related language.    Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications.    Experience with microservices, event driven architectures, and related technologies and paradigms.  Deep understanding of Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD and related build/test/deploy processes.  Experience with database technologies, especially MySQL and Postgres  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Local to Santa Monica (Los Angeles), New York City, or Seattle areas  Preferred Qualifications  Hands-on experience with container technologies and “infrastructure as code” techniques  Work experience in innovative, high-growth environments    When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.    #LI-AR1 #LI-Hybrid  Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role  We are looking for a Senior Software Engineer to join our Customer Experience application development team and contribute to the next step function growth phase. As a member of the engineering team, you will have the opportunity to design and build systems and features from the ground-up, have a big role to play in defining the direction of our product and mentor other engineers.  The ideal candidate will have a product-oriented mindset with a passion for technology and customer satisfaction. This engineer will play a critical role in the company's success by ensuring that software development efforts are aligned with customer needs and contribute to the company's overall growth and profitability. This is a unique opportunity to build an end-to-end mobility platform, that supports high throughput locations, aviation, fleet management and other use cases impacting the everyday experience of millions of people.   If you are energized by the mission to empower our customers to harness time through remarkable mobility products, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally. Responsibilities Design, implement, and maintain the backend services that make up the Metropolis parking platform.  Be a key part of the entire development lifecycle, including ideation and identifying requirements.  Moderate technical discussions, evaluate new techniques, and ensure our platform is constantly evolving and improving.  Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features.  Help build a culture where bugs and mistakes in Production are treated as opportunities to improve the platform.  Ensure that the systems we build are highly available and scalable.  Work directly with our partners and build solutions that seamlessly integrate their products with the Metropolis platform.  Required Qualifications  MS or BS in Computer Science or equivalent work experience. Strong fundamental computer science skills.  6+ years of software engineering experience. Advanced level knowledge of Scala, Java or related language.    Proven track record of designing and delivering large-scale distributed systems and software products in high volume consumer facing applications.    Experience with microservices, event driven architectures, and related technologies and paradigms.  Deep understanding of Agile engineering processes that support the entire software development life cycle, including TDD/BDD, CI/CD and related build/test/deploy processes.  Experience with database technologies, especially MySQL and Postgres  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Local to Santa Monica (Los Angeles), New York City, or Seattle areas  Preferred Qualifications  Hands-on experience with container technologies and “infrastructure as code” techniques  Work experience in innovative, high-growth environments    When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.    #LI-CM1 #LI-Hybrid  Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for experienced infrastructure engineers to build and scale the foundation that powers Claude and enables millions of users to interact with AI. As a Staff Software Engineer on the Product Infrastructure team, you'll architect and build the reliable infrastructure primitives that power our API, Claude.ai, Claude Mobile, Claude Code, and future AI products. This is a unique opportunity to tackle infrastructure challenges at the intersection of cutting-edge AI and massive scale. You'll architect systems that handle billions of API requests, build compute infrastructure that bridges research and production environments, and create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models including first-party and third-party environments. Responsibilities: Design and implement infrastructure solutions that scale to support millions of users interacting with Claude across multiple products Build and scale OLTP database systems through 100x+ growth while maintaining reliability and performance Architect storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments Develop Kubernetes-based compute infrastructure and service mesh solutions for our growing product ecosystem Extend research infrastructure capabilities for production use, enabling rapid deployment of new AI capabilities Partner with product teams to understand requirements and build infrastructure that accelerates feature delivery Collaborate with research infrastructure teams to create synergies and shared solutions Make critical build vs. buy decisions for infrastructure components Set technical direction for product infrastructure You might be a good fit if you: Have 8+ years of experience building and scaling infrastructure systems Possess deep expertise in at least one of: OLTP database scaling, Kubernetes/container orchestration, or distributed networking Have successfully scaled infrastructure through massive growth at high-growth companies Can balance the speed of a startup environment with the reliability needs of production systems Excel at technical leadership and cross-functional collaboration Are passionate about building the infrastructure layer that enables next-gen AI products Strong candidates may also have: Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems Experience with Redis, Temporal, RAG databases, or async job processing frameworks Experience building multi-cloud or hybrid cloud infrastructure solutions Expertise in Kubernetes, service mesh technologies, and container orchestration at scale Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain. The expected salary range for this position is:Annual Salary:$405,000—$485,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Forward Deployed Engineer on the Deployment Team at Norm Ai, you will be at the intersection of software engineering and client solutions strategy and delivery. Working directly with our enterprise clients and executive team, you will architect and implement AI-driven compliance solutions which integrate seamlessly into our customer’s existing workflows and deliver substantial value and bottom-line savings.Forward Deployed Engineers are at the leading edge of Norm’s Regulatory AI platform model. They embed with our client teams to build client-specific technical solutions, establish productive long-term relationships with customer SMEs and IT professionals, and sell to executives and other decision makers. They write nimble, high-value code and they close deals.Skills & Experience – CoreBachelors or Masters in computer science or an equivalent field, or equivalent practical experience.2+ years experience writing Python or similar for production use.1+ years of experience working with enterprise customers in a technical client-facing role (Sales Engineer, Solutions Engineer, Forward Deployed Engineer, etc.)Experience writing ETL data pipelines and working with key customer SMEs to map ambiguous customer data into a coherent data modelExperience writing APIs, including working with libraries such as FastAPI.Experience working with a Postgres database or similar.Excited to work/iterate with customers.Skills & Experience – PlusesExperience with React/TypeScript and Next.js.Experience with Dagster or Apache Airflow.Experience working in a startup and handling highly ambiguous requirements and situations.You will be expected to:Lead technical implementation and integration efforts with enterprise clients, ensuring our AI compliance solutions are effectively deployed at the source of business activities inside large enterprises.Work closely with client technical teams to understand their infrastructure, security requirements, and compliance needs.Design and implement scalable ETL pipelines to integrate data in internal customer systems into Norm’s platform.Work closely with relevant client SMEs to map their business data into a structured data model that Norm’s core product can reference to implement precisely tailored customer business logic.Develop client-specific customizations to Norm’s platform to help convert and upsell client accounts where investment is deemed worthy by the client team.Lead enablement sessions with client end-users to educate users on how Norm works and evangelize the upsides our platform delivers for people across all levels of the customer’s organization.Develop and maintain technical documentation for client and partner implementations.Collaborate with our legal engineering team to translate regulatory requirements into practical technical solutions.What Success Looks Like – 30 daysBuild and deploy your first ETL pipeline, demonstrating proficiency with our core platform and customer deployment patterns.Develop a deep understanding of our regulatory AI engine and how it integrates into our customers’ compliance process.Lead technical discovery sessions with our enterprise clients.Create your first end-to-end organization ontology data model for a customer Norm implementation.What Success Looks Like – 60 daysOwn multiple client relationships as the primary technical point of contact.Architect and implement custom solutions for complex client use cases.Contribute improvements to our core deployment framework based on client feedback.Identify and document patterns for scaling deployments across similar client systems.Comp & Benefits$190,000-$250,000 a year + employee equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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AI Deployment Engineer (Pre-sales to postales)About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have a 40 person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different – the results they want to drive, expectations of their customer base, and internal systems are totally varied. We need people who are excited to dive into that ambiguity to turn fuzzy goals into concrete plans, ship the first pathways yourself, then broaden adoption across our customer’s org. What You’ll DoPresales partner. Jump on discovery calls, white-board integrations, and explain Bland’s unique features (and ability to drive value) when speaking with product and engineering leaders. You’re working directly with an AE to sell Bland – and to scope an implementation timeline and plan. Own implementation start-to-finish. Design, build, and iterate pathways; wire up APIs; test relentlessly until the agent has “Bland tone” and feels human. Coordinate stakeholders. Engineers, product, operations, and anyone else who’s involved with implementation—you’ll corral them, set timelines and expectations, persistently follow up, and make sure timelines are hit and outcomes are delivered. Move fast and iterate. You build a thorough first agent (based on the scoping you define with the customer) and then you get it into production as fast as possible. You listen back to real calls, fix edge cases, then actively share those results with the customer’s team to build excitement and demonstrate the progress you’re driving. Expand the footprint. By embedding yourself in the customer’s organization, you understand the business priorities, know the value calls are driving, and you identify new opportunities for expansion and then are incredibly persistent to scope those expansions and work with sales to close the upsell. Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-Have Qualifications3-7 yrs in solutions engineering, product-minded software engineering, founding a startup, or any role that proves you can own a customer-facing build from zero to production. Comfortable reading & writing REST/JSON; able to sling quick Python or JS scripts to glue systems together. Track record of relentless ownership—moments where you ran through walls and surpassed immense challenges (can be both in personal and professional life) Clear communicator who can translate LLM quirks - and the specifics of how Bland works – to everyone on our customer’s team (at the right level of complexity for your audience). Ready for the intensity of a fast-growing, early-stage startup—the work is hard, the pace is high. This is not a big tech job. You’re joining Bland because you want to push yourself, you’re ambitious, and you care about doing great work. Will spend the first month full-time in our beautiful Jackson Square office in San Francisco, then stay mostly in-person or on customer sites. As we build our AI engineering team, we want people to be in-person as much as possible and we have a strong in-office culture. Nice-to-HavesBuilt side-projects or shipped production features with LLMs. Prior life as a founder, solutions architect, PM, CSM, or any other role where you had high ownership over delivering  outcomes and was customer facing. Prior experience owning pre-sales to post-sales to expansions is a huge plus (as long as you’re flexible and excited to learn how to work with LLMs!) Exceptional new grads with strong ownership and ambition are welcome to apply. You’ll Thrive Here If…You’re smart, relentless, and love working with customers You’re organized, keep tight timelines, and deliver clear updates (exceptionally thorough) You like hopping on planes to visit customers on site (not a requirement, but hopefully it’s something you enjoy). You care about the craft and about our customers’ customers – all our phone agents should sound truly human and have “Bland tone” – they should not sound like a corporate robot or like a phone tree.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).