Top AI Software Engineer Jobs Openings in 2025

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At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.   About our Enterprise Team:  We’re looking for an Engineering Manager to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, leading a team that is turning innovative prototypes into scalable, high-performance enterprise solutions. Your team will work on interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI.   Responsibilities: Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers Work across the entire product lifecycle from conceptualization through production Build features end-to-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Influence the culture, values, and processes of a growing engineering team Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences Requirements: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred Proven success in leading, managing, and developing high-performing Engineering teams Expertise in identifying product engagement patterns and trends for large scale consumer products Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.  At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Company Overview Based in the beautiful mountains of Park City, Utah, AtlasRTX is revolutionizing how companies engage their customers and stakeholders using AI, mobile messaging, and machine translation to create modern customer experiences. AtlasRTX helps identify key opportunities, leveraging our technology, to reach customers more efficiently and effectively. Why AtlasRTX? AtlasRTX is passionate about creating a diverse environment. We encourage applications from candidates of every race, color, religion, gender, identity, sexual orientation, national origin, disability, age, or veteran status. We are proud of our co-founder team culture that prioritizes inclusion, kindness, and achievement. We give deserving people a chance to make a difference, and invest in growing them personally & professionally. Our culture is our advantage. #CoFounderCulture. Job Summary Join our founding team and help us revolutionize how companies engage their customers and stakeholders using AI, mobile messaging, and machine translation to create modern customer experiences. AtlasRTX is looking for a super talented Software Engineer with at least 3 years of experience. You will be working with a world-class, 100% software-as-a-service conversational AI and messaging platform. We are looking for pros who are excited about both defining and enhancing our client processes and experiences. Software Engineers will work closely with the implementation and client success teams to support the implementation of software systems, develop technical solutions, address our client’s needs, and provide proactive suggestions and answers to improve client’s use and satisfaction. Responsibilities Strategize and participate in conversational design Implement, train, and test conversational experience using best practices Analyze, test, and improve the conversational experiences on an ongoing basis Qualifications Bachelors degree in computer science or related field 3+ years of software development experience Programming skills in .NET Relational database (SQL) background  Skilled in web, API, Microsoft Azure or related Experience in JavaScript, Data Science, NLP and AI Bonus Skills SignalR Service-bus queues Telephony and communications CI/CD pipelines Infrastructure-as-a-service DevOps    About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview Speechify's Studio is one of our latest products addressing creators' needs to create human-sounding voiceovers with AI text-to-speech, dub videos, clone their voice and more.  This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Build and maintain Speechify's Creator Studio found at speechify.com/studio Integrate AI models to provide state of the art voiceovers, dubbing, voice cloning and more An Ideal Candidate Should Have Experience with AWS/GCS and be able to build service architectures leveraging these services Experience building scalable architectures using micro services Experience writing testable code and pushing the bar higher on testing infrastructure Proficiency with React and modern React stack, or NodeJS, or both Understanding low-level JS and be able to profile and optimize SPA FE/backend performance Preferred: video and audio processing experience What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We embed deeply with users to solve high-leverage problems. We move quickly from prototype to deployment and surface patterns that shape the platform. We operate at the intersection of customer delivery and core development. We work closely with Product, Research, and Go-To-Market (GTM).About the roleForward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems,You will use this to map their problems, structure delivery, and ship fast. You will scope, sequence, and build full-stack solutions that create measurable value. You will also drive clarity across internal and external teams. You will identify reusable patterns and share field signal that influences the roadmap.Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution.This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role you willOwn technical delivery across multiple deployments from first prototype to stable productionBuild full-stack systems that deliver customer value and sharpen how we learnEmbed closely with customer teams, understand their needs, and guide adoption of what you buildScope work, sequence delivery, and remove blockers earlyMake trade-offs between scope, speed, and quality; adjust plans to protect deliveryContribute directly in the code when progress or clarity depends on itCodify working patterns into tools, playbooks, or building blocks that others can useShare field feedback that helps Research and Product understand where the models succeed and where they can improveKeep teams moving through clarity and follow-throughYou might thrive in this role if youBring 5+ years of engineering or technical deployment experience that includes customer-facing workHave scoped and delivered complex systems in fast-moving or ambiguous environmentsWrite and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacksHave built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experienceSimplify complexity and make fast, sound decisions under pressureCommunicate clearly with engineers, product teams, and customer stakeholdersSpot risks early and adjust without slowing downModel calm and judgment when the stakes are highAbout 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 roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from Prague on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleYour job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see that our users are doing and another part of that is leading by example by building experimental projects using E2B.You’ll be building both smaller examples that you can find in our Cookbook but also bigger projects like Fragments or AI Analyst.This role requires a high amount of creativity and ability to finish the projects by taking them from 0 to 1.Ready to be the voice of E2B and inspire thousands of developers to build with our product? This San Francisco-based role requires engineering skills and excellent communication skills to help developers unlock the full potential of E2B. As a Developer Relations Engineer, you'll be deep in the AI ecosystem, educating devs about E2B use cases, sharing our vision through demos and content, and helping shape the company brand. You'll get to build and hack on the latest hot things in AI, translate complex technical concepts into accessible examples, and gather feedback from the community to influence our product roadmap.Examples of responsibilitiesExamples and guides showing E2B features and integration with various LLMs, frameworks, and AI toolsOwning the E2B CookbookResearching the latest trends in the AI space and coming with project ideasRecording a demo video about a new featureCollaboration with AI companies in the ecosystem on examples, content, eventsDemo examples with E2B at meetups or conferencesTalking to developers online and offline about E2B and make them excited about building with the productBeing active on X and follow the latest advancements in the AI dev tools, LLMs, and agentsWhat we’re looking forEngineering experienceExperience in Python an JavaScript/TypeScripptExperience with AI and LLM-powered productsExcellent communication skillsExcited to work in person from San Francisco on a devtool productDetail orientedExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the teamWhat it’s like to work at E2BWork at a fast growing startup at an early team (we grow 20%-100% MoM)We ship fast but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Terka (Marketing, Growth, DevRel). We’ll learn about you, your work experience, and what you’re looking for to make sure this would be a good fit for both of us.30-minute call with Vasek (CEO).Technical assignment. The (paid) assignment should take up to 3 business days and it will test your technical and communication skills.Decision and potential offer.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. We're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs. You will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements. What You'll Do:Architect, design, and implement distributed storage solutions optimized for AI workloads.Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.Evaluate and benchmark storage technologies to meet demanding AI performance requirements.Collaborate with engineering teams to integrate storage solutions with cloud product offerings.Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.Provide mentorship and technical leadership to storage and infrastructure engineers.About You:Proven experience (7+ years) designing and implementing distributed storage systems.Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).In-depth knowledge of underlying hardware systems supporting storage deployments.Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.Experience working with high-performance and high-availability storage solutions.Familiarity with object, block, and file storage protocols.Ability to identify, analyze, and resolve complex technical issues.Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.Nice to Have:Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).Familiarity with container storage solutions and orchestration.Experience managing storage in large-scale cloud environments.Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).Salary Range InformationBased on market data and other factors, the annual salary range for this position is $349,000-$465,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About the roleYou will be building the next cloud platform for running AI software — a cloud where AI apps are building other software apps.Your job will be:Building with VM hypervisors like Firecracker, gVisor, or Linux systemResource monitoring of sandboxesDeveloping networking solutions for secure, isolated environmentsOptimization of E2B sandbox performance and shaving off every millisecondBuilding new kind of programming language runtimes for LLMsWe’re looking for an infrastructure engineer with a diabolical obsession with making things run fast and efficiently and running A LOT of them at the same time.If this sounds exciting to you, we want to hear from you!What we’re looking for5+ years building infrastructure, especially distributed systemsExperience building infrastructure on scaleExcited to work in person from San Francisco on a devtool productDetail-oriented with a great tasteExcited to work closely with our usersNot being afraid to take ownership of the part of our productIf you join E2B, you’ll get a lot of freedom. We expect you to be proactive and take ownership. You’ll be taking projects from 0 to 1 with the support of the rest of the team.What it’s like to work at E2BWork at a fast-growing startup at an early team (we grow 20%-100% MoM)We ship fast, but don’t release junkWe like hard work and problems. Challenges mean potential value.We have a long runway and can offer a competitive salary for the startup at our stageWork closely with other AI companies on the edge of what’s possible todayDogfooding our own product on projects like FragmentsNo meetings, highly writing, and transparent cultureYou’re the decision maker in day-to-day, important product and roadmap decisions are on Vasek (CEO) and Tomas (CTO)Spend 10-20% of the roadmap on highly experimental projectsHiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up in 24 hours after each stage.30-minute call with Vasek (CEO). We’ll go over your past work experience and what you’re looking for to make sure this would be a good fit for both of us.First technical interview with Tomas (CTO). About 1 hour long call. You’ll get asked thorough technical questions. Often these are questions about problems that we ourselves experienced while building E2B.Second technical interview. Another 1-2 hours long call. Expect live coding on this call. We’ll ask you to solve specific problems (don’t worry, it’s not a leet code) that are related to your role.One day of in-person hacking at our office (paid). We invite you to our office to work on the product with us. This is a great opportunity for all of us to try how it’s working together and for you to meet the team.Last call with Vasek. Last 30-minute call with the CEO to talk more about the role and answer any of your questions.Decision and potential offer.

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About the roleAs a customer engineer, you’ll be helping our customers effectively integrate E2B into their products.What we expect from you3+ years of experience in customer-facing roles with a technical backgroundExcellent communication skills and being highly detail-orientedExperience with Python, JavaScript, TypeScript, LLMs, AI tools (AI SDK, LangChain, crewAI, and popular web frameworks (e.g. Next.js)Experience with support ticketing systemsUpdating technical documentation to help future customersRelaying customer feedback to the rest of the teamWhat it’s like to work at E2BWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We have 7-figure revenue and work directly with customers from the top-tier AI companies such as Perplexity, Hugging Face, and more exciting names.We cover full healthcare, vision, and dental insurance and offer unlimited PTO.Hiring processWe aim to have the whole process done in 7-10 days. We understand that it’s important to move fast and try to follow up within 24 hours after each stage.30-minute screening call. We’ll learn about you, your work experience, and what you’re looking for to make sure this would be a good fit for both of us.30-minute call with Vasek (CEO).Assignment. The (paid) assignment should take up to 3 business days and it will test your technical and communication skills.Decision and potential offer.

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Job Description:Shield AI’s mission is to protect the lives of service members and civilians with intelligent systems. The Hardware Test Engineering team contributes to this effort by designing test solutions that drive high hardware reliability on our V-BAT vehicle. These solutions are in-house designed electrical and mechanical equipment used to perform component and system-level testing, both at ambient and in simulated harsh environmental conditions. As an entry-level Software Engineer on the Test Engineering team, you’ll support the development of software used to automate hardware testing and data collection. You’ll contribute to internal tools and infrastructure that help ensure our test systems are scalable, efficient, and reliable. This is a great opportunity to gain hands-on experience working at the intersection of software and hardware, supporting critical testing for next-generation aerospace systems.

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At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. About the job: Vanta’s Developer Experience team builds the tools engineers use every day to bring ideas to production rapidly and reliably. You’ll empower other Vanta engineers to leverage cutting-edge technologies and best practices to make Vanta more performant and scalable on a platform level. Example projects include modernizing our CI/CD pipelines, introducing new test frameworks, launching AI-powered dev tools, and scaling developer environments to support a growing engineering team.This team has a wide breadth of impact across all of product engineering. The work we do compounds in value by making it easier for engineers to diagnose and solve bugs, streamline workflows, and ship value to our customers quickly and safely.Vanta engineers design and develop new product functionality and infrastructure leveraging modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, Github Actions, and various AWS services such as Fargate and ECS.Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We’d love for you to join us!You will: Set direction for critical dev infrastructure, enabling us to stay ahead of continued rapid growthDesign and build CI and build systems that ensure Vanta engineers can develop and ship robust products quickly and confidentlyImprove the efficiency and reliability of our deployment workflows, including tools for hotfixes, rollbacks, and incident mitigationLead development of tools that accelerate feedback loops — from typechecking and linting to running tests and deploying changesBuild and maintain scalable development environments, test infrastructure, and core dev toolingIntroduce and scale AI-enhanced developer tools that help engineers move faster, write better code, and reduce toilWork with talented and kind engineers to make a significant impact on our customer base, enabling them to improve their security and prove itContribute to building Vanta’s engineering culture as we grow How to be successful in this role:You’ve played technical leadership roles on DevEx or platform teamsYou have experience with build systems, CI/CD, and scaling developer workflows in fast-growing environmentsYou care deeply about performance, reliability, and usability, especially in tools used daily by engineersYou’re thoughtful about trade-offs and have good product sense when building internal tools What you can expect as a Vantan:Industry-Competitive Salary and Equity100% covered Medical, Dental, and Vision Benefits with Dependents Coverage16 Weeks Fully Paid Parental Leave for All New Parents (Moms, Dads, Adoptive, Foster)Health & Wellness StipendRemote Workspace Stipend401(k) Matching PlanFlexible Work Hours and LocationOpen & Encouraged PTO Policy11 Company Paid HolidaysFree Memberships to Online Wellness Platforms (One Medical, Ginger, Headspace, and more!) Virtual Team Building Activities, Lunch and Learns, and other Company-Wide EventsOffices in SF and NYC with Hubs of Vantans forming across the US, including but not limited to, Seattle, Austin, Indianapolis, LA, Boston, and more! At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security.From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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Frontend Engineer About Durable: Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What You’ll Do: In this high-impact role, you’ll join a product engineering pod focused on building fast, polished, AI-native user experiences. You’ll work closely with design and product to craft responsive features and interaction patterns using modern frontend tools and frameworks. Key Responsibilities: Build modern, performant, and highly interactive UI features using React, TypeScript, Tailwind CSS, and NextJS Implement and maintain design systems, UI components, and documentation using Storybook Create delightful, interactive experiences with motion and animation using Rive and Radix primitives Integrate data and API logic via TRPC and TanStack Query with an eye for loading states and transitions Optimize for Core Web Vitals, accessibility, and multi-device responsiveness Collaborate with product, design, and AI teams to shape high-quality, user-facing experiences Work closely with design to prototype, test, and polish features that feel fast and intuitive Ensure consistent UX quality and frontend performance as we scale our platform Qualifications: 3+ years of professional experience building production-grade web applications Strong fluency with React, NextJS, TypeScript, and modern frontend engineering best practices Deep experience with Tailwind CSS and design system implementation Experience with animation, micro-interactions, or tools like Rive and Framer Motion Familiarity with frontend architecture, component libraries, and state management (e.g. TanStack Query, TRPC) Care for performance, browser fundamentals, accessibility, and visual detail Bonus: Experience with design engineering, design tokens, visual regression testing, or contributing to UI kits Why Join Us? At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Hybrid Flexibility & Gastown HQ: Our well-stocked Vancouver office offers stunning views of the North Shore, and while we value in-person collaboration, you're free to work from home when you need to. Mondays and Thursdays are our in-office anchor day. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Commitment to engineering excellence: We care deeply about our craft and build using the most AI-native stack and tools available. Location: Remote. We welcome candidates from across Canada, and have a preference for PST timezone for overlap with the majority of our team.  Compensation: Base salary range is $180,000-$225,000 CAD, plus equity. This range is relevant to candidates located in Vancouver, Canada. Actual compensation will be based on a combination of factors including experience and skill level. Recruitment process: This is our typical recruitment process. It may vary a bit but generally this is what you can expect to take place over the span of several weeks. Recruiter screen (Online, 15-20mins) Hiring Manager screen (Online, 15-20mins) Behavioural (On-site, 30mins) Technical Interview (On-site, 90mins) Group Chat (Online or On-site, 25mins) References + Offer The behavioural, technical, and group portions are often completed at the same time at our office.

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Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a growth engineer to join the founding team. Someone scrappy, who believes in getting a lot of iterations in fast, and someone who'd be excited about translating cutting-edge AI capabilities into elegant and reliable product experiences.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Improve the speed and quality of our engineering process.Design, implement and analyze experiments to drive user acquisition, activation, and retention.Own and develop both frontend and backend systems that support growth initiatives.Work closely with designers, product and AI engineers.Improve the speed and quality of our engineering process.What we’re looking for:Strong engineering skills, especially in the stack: React, Typescript, Python, AWS.Deep understanding of how the web / HTTP works.Experience working with large distributed systems.High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Strong product intuitions. Passion to get the details right.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

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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 team You will work on the team that is responsible for the backend services that power grok.com and our API. Our team is currently based primarily in London with a small but growing number of engineers located in Palo Alto. We focus on writing highly scalable and reliable services that can efficiently process tens of thousands of queries per second. The entire backend stack is written in Rust. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB. Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerised applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping). Locations We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. 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 technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. 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.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 Team You will work on the team that is responsible for the frontend services that power grok.com and our API. Our team is distributed across London and Palo Alto. We focus on implementing highly performant user interfaces that are delightful to use. We primarily use React with NextJS for rendering. About the Role An ideal candidate meets the following requirements: Expert knowledge of TypeScript and React, Expert knowledge of Tailwind, Expert knowledge of best practices regarding performance, accessibility, and frontend security. Additionally, any of the following qualifications may help a candidate stand out: Experience in advanced web technologies such as WebGL, WebSockets, WebAssembly, web workers, and PWAs, Experience in UI and UX design, Experience in implementing sophisticated CSS animations. Experience with Kubernetes. Location We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. 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 technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews: Coding interview in TypeScript: Write a small app in React HTML/CSS interview: Given a screenshot of a UI, implement it 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.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What you’ll DoJoin a team of industry-leading experts and work alongside the best minds in the fieldCollaborate with top-tier professionals who are shaping the future of the industryDesign and build foundational Linux security features and infrastructure that protect AI/ML workloads running across thousands of GPUs on modern cloud platformsDevelop security capabilities for containerized and virtualized environments, including secure boot, system hardening, kernel integrity monitoring, and isolation technologies YouLinux Security Expertise – 8+ years of experience with Linux-based production systems, with a strong focus on security at the OS and kernel level (e.g., SELinux, AppArmor, seccomp, namespaces, cgroups, integrity measurement, and TPM).Kernel & Hardening – Deep understanding of Linux kernel internals and experience securing kernel subsystems (e.g., syscall filtering, LSMs, audit frameworks, eBPF for security observability).Cloud & Infrastructure Security – Experience building or securing core cloud infrastructure (e.g., secure virtualization/KVM/QEMU, hardened images, secure boot, confidential computing, software-defined perimeter, network segmentation, firewalling, identity and access management).Security Architecture – Ability to design and implement end-to-end security architectures for large-scale, distributed systems. Familiarity with threat modeling, risk analysis, and mitigation planning for both x86_64 and aarch64 platforms.Programming Languages – Strong background in C with experience writing secure, high-performance code. Familiarity with Rust, Python, and Go is a plus. Strong track record of delivering security-critical systems from concept to production.Education – Background in computer science, cybersecurity, electrical engineering, or a related field. You will be successful in this role if you haveHave led and taken full ownership over large, ambiguous, cross team projects from conception to productionEnjoy moving fast and making a large business impactValue working on a team of high performers that hold each other accountableAre a self-starter, curious, and not afraid to ask when in doubtAre a quick learner, enjoy learning new technologies and methodologiesValue working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a teamCare deeply about well-tested code Salary Range InformationBased on market data and other factors, the salary range for this position is $255,000-$405,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What you’ll DoJoin a team of industry-leading experts and work alongside the best minds in the fieldCollaborate with top-tier professionals who are shaping the future of the industryBuild core cloud features like Virtualization, SDN, Storage, VPCs for training AI/ML models across thousands of GPUs interconnected with state-of-the-art networking fabricYouLinux - 8+ years developing Linux based production systems. Strong understanding of Linux kernel internals (e.g. Memory Management, Process Scheduling, I/O Scheduling, Socket Buffers, Virtualization/KVM, Live Migration, eBPF, perf).Cloud - 8+ years developing core public cloud internals (e.g. Kernel, Device Drivers, Virtualization, KVM, QEMU, Software Defined Networking, Security, Fleet Health and Performance Monitoring).Architecture - Ability to architect a resilient, large-scale, distributed system from a blank sheet of paper. Have a deep understanding of x86_64, aarch64 and GPUs.Programming Languages - Strong C background. Rust, Python and Go are nice to have. Minimum of 8 years implementing business-critical systems, from initial conception to successful launch.Education - Computer science, electrical engineering, mathematics, or physics preferredYou will be successful in this role if you haveHave led and taken full ownership over large, ambiguous, cross team projects from conception to productionEnjoy moving fast and making a large business impactValue working on a team of high performers that hold each other accountableAre a self-starter, curious, and not afraid to ask when in doubtAre a quick learner, enjoy learning new technologies and methodologiesValue working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a teamCare deeply about well-tested codeSalary Range Information Based on market data and other factors, the salary range for this position is $255,000-$405,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. The Senior Cognitive Implementation Engineer is a core member of the agile teams implementing cognitive solutions. These cognitive solutions are to be fit-for-purpose, efficient, and of high quality.  The responsibility of the Senior Cognitive Implementation Engineer is to build and implement new cognitive functionalities based on extensive Transversal Analysis and Architecture blueprint for clients. In this role, you will: Responsible for configuring cognitive modules of Amelia – or creating new customized modules with help of Product Engineering – to ensure Amelia can address required functionality Review outcome of the Transversal Analysis and target Architecture blueprint Configure (‘train’) Amelia for the agreed use cases Test Amelia against concrete cases and implement refinements Discuss with Technical Architect and Cognitive Project Leads approaches to each technical challenge and agree on technical solution Develop and test each module functionally until it reaches expected behavior Work with integration experts to connect developed functional solutions to the Automations that communicate with back-end systems After project execution, review ‘structural’ changes and developed APIs and decide with R&D if any should be standardized in Amelia Reuse APIs and automatas or create new APIs and automatas to integrate Amelia with relevant client systems and security framework Create agile work plan for agreed functionality and validate with cognitive project lead Configure Amelia ontologies to address required functionality in agile sprints Create reusable Amelia ‘modules’ (e.g. BPNs) in local language Create reusable Amelia ontologies in local languages Stress test new/modified pieces to ensure they can withstand technical end user requirements We would love to hear from you if: Have 5 years of experience with Java, JavaScript, and/or Groovy Scripting and a Bachelor’s Degree in Computer Science or equivalent (or 3 years of experience with a Master’s Degree). We’d be especially excited if you bring excellent problem-solving, analytical thinking, and communication skills, along with a flexible mindset, a can-do attitude, and a strong eagerness to learn. Experience with implementations at an enterprise scale would be a significant plus. This position is available for remote work across most of the United States. SoundHound AI DOES NOT offer employment in Alabama, Alaska, Delaware, Iowa, Maine, Mississippi, New Hampshire, North Dakota, Rhode Island, South Carolina, Vermont, West Virginia, Wisconsin, and Wyoming. Regardless of workplace arrangement, employees within a 60-mile radius of a SoundHound AI office are expected to work from the office on three pre-scheduled, company-wide “core days” per month to encourage cross-team connection and in-person collaboration. The estimated salary for this position is $120,000 - $140,000 plus equity. In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience. Please note that if your application is advanced, the initial step will be an invitation to partake in a pre-assessment. ______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.   #LI-REMOTE #LI-MQ1

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At Vanta, our mission is to secure the internet and protect consumer data. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As one of the fastest-growing organizations at Vanta and the first to leverage AI, the Trust team is responsible for driving innovation through artificial intelligence, disrupting the security industry with continuous, automated monitoring and delivering more accurate insights to help customers make informed decisions. You'll be working on 0→1 initiatives, shaping the future of security with cutting-edge AI capabilities. The Trust organization owns three distinct AI-powered products (Trust Center, Questionnaire Automation, Vendor Risk Management ) and is actively innovating on new products. As a Senior Full-Stack Software Engineer, you’ll lead high-impact, ambiguous projects across our entire technical stack, playing a key role in shaping the direction of our product. You’ll collaborate closely with customers to deeply understand their needs and mentor a talented engineering team to deliver innovative, scalable solutions.Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company.Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We’d love for you to join us!Visit our Vanta Engineering Blog to learn more about what our team is working on! About the Role at Vanta: As a Senior Software Engineer at Vanta, you’ll be responsible for leading complex, cross-functional projects that may span across teams and systems. Senior Engineers at Vanta have a demonstrated history of leadership—you will define architecture, scope and assign work, align stakeholders, mentor engineers, and ship critical components, and you have a lengthy track record of doing this. You’ll help develop and scale Vanta’s Trust Products, and guide technical growth across the org.Vanta’s levels are a little different than other tech companies- we often see people with Staff or Principal titles at other organizations with scope that matches our Senior level.What You’ll Do as a Senior Software Engineer at VantaLead initiatives: bring clarity to ambiguity, define product scope, and solve for technical complexity.Work with Product and Design partners to shape technical solutions that meet real customer needs.Define architecture, delegate implementation across multiple engineers, and ensure successful outcomes.Deliver key portions of the project directly while reviewing and unblocking others.Drive knowledge sharing and mentor engineers, including senior engineersSetting long term technical strategy for your team and raise engineering quality bar How to be successful in this role:Minimum of 7 years of product-side Fullstack experience; there is no maximum, we often hire Senior Engineers who have 7–10+ years baseline of product delivery and tech lead experienceHave experience with our stack: Typescript, React, GraphQLHas a track record of successfully led highly ambiguous and complex project where problems and solutions are not well defined, while coordinating groups of engineers and working with cross functional stakeholders Demonstrated ability to operate with autonomy, align product and engineering needs, and land high-quality outcomes.Trusted to lead not just code, but also planning, process, and culture.Mentors across levels at a team-wide scale; a technical role model and coach. Contributes to/leads programs which uplevel the code quality of the team.If this sounds interesting to you, but you have even more extensive experience as a leader, please consider applying for our Staff Fullstack Engineer roleWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security.From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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At Replicant, we believe AI should work for people, starting with customer service. That’s why we built a platform that helps contact centers resolve more requests, proactively identify issues, and improve agent performance with AI-powered conversation intelligence and AI agents that act like your best reps.Our AI agents handle millions of calls every month for Fortune 500 companies and high-growth innovators. From processing payments to booking appointments and authenticating users, they help customers get what they need instantly, 24/7. Meanwhile, our real-time conversation insights help contact center leaders coach better and improve every interaction.We’re leading the shift from legacy systems to AI-first service, powered by large language models (LLMs)and designed for enterprise scale, security, and empathy. If you’re excited by the potential of LLMs, voice AI, and building category-defining technology with a kind, ambitious team, you’ll love it here.In this role, you'll build out rich user experiences on a robust and scalable architecture. You’ll work closely with customers and our product and machine learning teams to create powerful self-service tools that enable users to build powerful and delightful AI-powered conversations for callers.What you'll doBuild modern, single-page applications using technologies like React and NodeJsIdentify and drive the adoption of new technologies, best practices, and design patterns in your teamUse metrics and your team's collective experience to drive development decisionsShare your passion for learning about technical topics with your team and peersParticipate in regular on-call rotations to support our systemsCollaborate with your team to manage and prioritize work through a rigorous, yet lightweight, agile processWhat you'll bring3+ years of Software Development experience in a SaaS environmentExperience working on technical projects and prioritization with a customer-focused mindsetA deep understanding of the unique requirements and challenges of B2B applications, you understand the importance of reliability, scalability, and usability in B2B softwareYou have a strong grasp of accessibility standards (WCAG, ARIA) and are experienced in developing inclusive web applications that are accessible to all users, including those with disabilitiesAdvanced knowledge of Object Oriented Programming, Test Driven Development, Distributed Systems and API designA desire to create elegant, scalable, and maintainable tools and solutionsExperience with some of our primary technologies: React, TypeScript (or similar) and PostgreSQL#LI-RemoteFor all full-time employees, we offer:🏠  Remote working environment that respects time zone differences💸  Highly competitive salaries, equity, and for US Employees, a 401(k) plan🏥  Top of the line healthcare (medical, vision, and dental)🏋️  Health and Wellness Perk🖥️ Equipment Stipend🌴  Flexible vacation policy✈️  Amazing team trips & offsites where you can find our CEO baking bread for the team🌺 Replicants are eligible for a 5-week sabbatical after being at the company for 4.5 yearsOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.