OpenAI

A leading AI technology firm in San Francisco is seeking full stack software engineers to enhance health care delivery through innovative AI systems. You will work in a collaborative environment, designing scalable solutions and ensuring compliance with regulations. Candidates should have a strong engineering background, commit to improving health outcomes, and thrive in cross-functional teams. Competitive compensation is available for qualified applicants.

A leading AI research firm in San Francisco is seeking a professional to design and deploy services that empower models and agents. The role involves ensuring data access patterns enhance model performance and requires a solid understanding of enterprise data management principles. Responsibilities include building infrastructure that connects data efficiently and participating in system reliability management. Ideal candidates should thrive in dynamic environments and possess strong operational skills.

A leading AI firm in San Francisco is seeking a Data Scientist to drive a data-driven culture for their API and B2B solutions. The role involves defining key metrics, measuring the impact of models, and collaborating with product and engineering teams to enhance both quality and reliability. Ideal candidates will have over 5 years of experience in quantitative roles, with strong skills in SQL and Python. This position offers a hybrid work model and competitive compensation.

A leading AI technology company in San Francisco is seeking a Networking Operating System Firmware Engineer to develop and maintain custom SONiC NOS images for advanced AI supercomputers. This role involves collaborating with teams to ensure reliability and performance, integrating hardware and software components, and leading projects in a fast-paced environment. Ideal candidates will have a strong background in Linux kernel development and proven experience with NOS stacks.

A leading AI research firm in San Francisco is looking for passionate Full Stack Engineers to drive innovative solutions. Ideal candidates will have over 4 years of experience, strong proficiency in JavaScript and Python, along with an interest in AI/ML. This role involves significant collaboration and ownership of platform capabilities. The company offers a competitive salary, ranging from $325K to $405K, with a commitment to diversity and equal opportunity.

Software Engineer, Enterprise AI Platform This role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You'll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work-from architecture and implementation to production operations and on-call responsibilities. Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability. In This Role, You Will Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner. Design, build, and maintain secure and compliant systems to process sensitive and valuable data. Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient. Integrate data access and authentication with our production model and agent systems. Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities. Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents. You Might Thrive In This Role If You Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks. Are excited to bring the power of AGI to the infrastructure the world runs on today. Are comfortable with ambiguity and rapid change. Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy Compensation Range: $255K - $405K

A leading AI company in San Francisco seeks a Camera Firmware Engineer to develop and maintain low-level camera systems. This role requires expertise in embedded camera systems, strong C/C++ programming skills, and experience with common camera hardware interfaces. Candidates will be responsible for sensor bring-up and the stability of capture systems, working closely with electrical engineering teams. The position follows a hybrid work model and offers relocation assistance, contributing to a mission of ensuring AI benefits humanity.

A leading AI research company is seeking an experienced software engineer to deliver custom software solutions utilizing APIs to address customer problems. The role involves collaborating with customers and engineering teams to design scalable solutions and requires 7+ years of full stack experience. Offering a hybrid work model with relocation assistance, this position also involves up to 50% travel.

An AI research and deployment company is seeking a Data Scientist to lead analysis on strategic risks. You will conduct econometric analyses, design experiments, and work cross-functionally to assess and mitigate risks. Ideal candidates have significant experience in econometrics, strong coding skills in Python and SQL, and the ability to communicate complex results to non-technical stakeholders. This role offers a hybrid working model based in San Francisco, CA, with competitive compensation.

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier-scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we're building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high-performance, asynchronous, zero-copy tensor and optimizer-state-aware data movement; performant, high-uptime, fault-tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long-lived, job-specific and user-provided processes. We integrate proven large-scale capabilities into a composable, developer-facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model-stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training Performance Engineer, you'll drive efficiency improvements across our distributed training stack. You'll analyze large-scale training runs, identify utilization gaps, and design optimizations that push the boundaries of throughput and uptime. This role blends deep systems understanding with practical performance engineering-analyzing GPU kernel performance, collective communication throughput, investigating I/O bottlenecks, and sharding our models so we can train them at massive scale. You'll help ensure that our clusters are running at peak performance, enabling OpenAI to train larger, more capable models with the same compute budget. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Profile end-to-end training runs to identify performance bottlenecks across compute, communication, and storage. Optimize GPU utilization and throughput for large-scale distributed model training. Collaborate with runtime and systems engineers to improve kernel efficiency, scheduling, and collective communication performance. Implement model graph transforms to improve end-to-end throughput. Build tooling to monitor and visualize MFU, throughput, and uptime across clusters. Partner with researchers to ensure new model architectures scale efficiently during pre training. Contribute to infrastructure decisions that improve reliability and efficiency of large training jobs. You might thrive in this role if you: Love optimizing performance and digging into systems to understand how every layer interacts. Have strong programming skills in Python and C++ (Rust or CUDA a plus). Have experience running distributed training jobs on multi GPU systems or HPC clusters. Enjoy debugging complex distributed systems and measuring efficiency rigorously. Have exposure to frameworks like PyTorch, JAX, or TensorFlow and an understanding of how large-scale training loops are built. Are comfortable collaborating across teams and translating raw profiling data into practical engineering improvements. Nice to have: Familiarity with NCCL, MPI, or UCX communication libraries. Experience with large-scale data loading and checkpointing systems. Prior work on training runtime, distributed scheduling, or ML compiler optimization. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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. Compensation Range: $250K - $460K

About The Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond. You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The position requires both technical depth and executive-level communication. It is based in San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available. The Vision Build causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV. Design customer "happy paths" by identifying adoption journeys that maximize lifetime value while ensuring customers gain the most from our ecosystem. Analyze price elasticity to guide product packaging, monetization, and pricing strategies. In This Role Partner with cross-functional teams (Finance, Product, Data Engineering, GTM, and other DS teams) to build causal inference and predictive models that drive business decisions. Develop and maintain LTV models across product lines and customer cohorts. Architect scalable frameworks and models that democratize economic insights for leadership and functional teams. Support strategic pricing and investment decisions with robust analytical and causal evidence. Lead cross-functional data science initiatives, ensuring analytical rigor, clarity, and timely delivery. You Might Thrive In This Role Executive communication - ability to distill complex analysis into clear, actionable recommendations for leadership. Technical breadth - comfort spanning ROI analysis, causal inference, statistical modeling, and ML predictive models; strong experience with Python and SQL. Strategic judgment - ability to connect analytical insights to business impact, delivering the "so what" that informs leadership decisions. Collaboration and ownership - thrive in a fast-paced, cross-functional environment and proactively take projects from concept to delivery. Qualifications MS or PhD in a quantitative field (Statistics, Economics, Applied Math, Operations Research, Computer Science, etc.). 7+ years of experience in applied data science, causal inference, or quantitative strategy. Proven record of delivering high-impact insights to executive leadership. Experience building scalable analytical frameworks and models that inform business decision-making. About OpenAI OpenAI 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. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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. Compensation Range: $255K - $405K

Data Scientist, Strategic Intelligence & Risk Join to apply for the Data Scientist, Strategic Intelligence & Risk role at OpenAI About The Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI's products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI's tools are deployed securely and responsibly across critical sectors. About The Role As a Data Scientist, you will lead econometric and experimental analysis to understand how risk changes in complex human-AI systems. Your work will focus on measuring the magnitude and impact of risk shifts in a fast paced, rapidly evolving operational environment. You will design experiments and observational studies to identify causal drivers and analyze changes in risk across a wide range of surfaces and sources. Your analyses will directly inform prioritization and strategic risk management across the company. This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available. In This Role, You Will Own the design and execution of experimental and observational analyses used to assess strategic risk Develop econometric approaches to estimate the impact of product, policy, and external developments on key risk vectors Translate strategic risk questions into testable hypotheses and sound study designs Design and deploy A/B tests, as well as pseudo experimental studies, to measure changes in risks and understand underlying mechanisms Identify, test, and explain product driven, event driven, or signal driven changes in risk Establish baselines and statistical confidence around core metrics to size these problems Partner across teams to track strategic risks, identify opportunities for intervention, and develop analyses to evaluate those interventions You Might Thrive In This Role If You Have 3-6+ years in econometrics, causal inference, or experimental research Are comfortable owning ambiguous analyses with large scale influence Are strong in experimental design, observational methods, and statistical reasoning Write solid Python and SQL Experience delivering zero to one analyses and scaling them from concept through deployment Communicate data driven findings clearly, including uncertainty and trade offs, to non technical partners and leadership Nice to have: experience in trust and safety, integrity, operational security, intelligence analysis or other quantitative risk focused domains About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for employers, and the California Fair Chance Act, for US based candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via the online application. Compensation Range: $255,000 - $325,000 Seniority level Mid Senior level Employment type Full time Job function Engineering and Information Technology Industries Research Services

Senior Software Engineer, Data Acquisition The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Senior Software Engineer to join our Data Acquisition team. Overview The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Senior Software Engineer to join our Data Acquisition team. Responsibilities Own and lead engineering projects in the area of data acquisition including web crawling, data ingestion, and search. Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability. Work closely with the legal team to handle any compliance or data privacy-related matters. Develop and deploy highly scalable distributed systems capable of handling petabytes of data. Architect and implement algorithms for data indexing and search capabilities. Build and maintain backend services for data storage, including work with key-value databases and synchronization. Deploy solutions in a Kubernetes Infrastructure-as-Code environment and perform routine system checks. Conduct and analyze experiments on data to provide insights into system performance. Qualifications BS/MS/PhD in Computer Science or a related field. 6+ years of industry experience in software development. Experience with large web crawlers a plus. Strong expertise in large stateful distributed systems and data processing. Proficiency in Kubernetes, and Infrastructure-as-Code concepts. Willingness and enthusiasm for trying new approaches and technologies. Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal. About OpenAI OpenAI 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. Equal Opportunity 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. 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. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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. Compensation Range: $325K - $405K

Get AI-powered advice on this job and more exclusive features. Pay found in job post Retrieved from the description. Base pay range $255,000.00/yr - $405,000.00/yr About The Team OpenAI's Financial Engineering (FinEng) team powers how revenue flows through our products-pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About The Role As a Data Scientist on FinEng, you'll own the analytics and experimentation that improve our checkout and payments, subscriptions, and pricing & monetization systems. You'll define the metrics that matter, build the source of truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. 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 Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. Build and run the experimentation program for in house checkout-define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren't feasible. Create operational visibility and source of truth data with FinEng Data Engineering-land team level metrics, SLAs, and self serve dashboards that drive proactive action. Lead subscription, retention, and monetization analytics-ship launch readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have 5+ years in a quantitative role (data science, product analytics, or experimentation) in high growth or fintech environments Fluency in SQL and Python, with a track record designing and interpreting A/B tests and quasi experiments Experience building product metrics from scratch and operationalizing them for decision making Excellent communication skills with PMs, engineers, risk/finance partners, and executives Strategic instincts beyond significance tests-clear thinking about trade offs (conversion vs. risk vs. cost vs. user experience) You could be an especially great fit if you have Payments, checkout, or subscription analytics experience (PSPs, bank rails, disputes/refunds, risk, e commerce) Background in offline incrementality methods, uplift modeling, CUPED/causal inference, or counterfactual evaluation Experience with internationalization/local payments, FX, and pricing & packaging strategy Comfort building operational analytics (alerting, SLIs/SLOs) and partnering closely with data engineering About OpenAI OpenAI 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. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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. Compensation Range: $255K - $405K

About the Team Training Runtime designs the core distributed machine-learning training runtime that powers everything from early research experiments to frontier scale model runs. With a dual mandate to accelerate researchers and enable frontier scale, we're building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve. Our work focuses on three pillars: high performance, asynchronous, zero copy tensor and optimizer state aware data movement; performant, high uptime, fault tolerant training frameworks (training loop, state management, resilient checkpointing, deterministic orchestration, and observability); and distributed process management for long lived, job specific and user provided processes. We integrate proven large scale capabilities into a composable, developer facing runtime so teams can iterate quickly and run reliably at any scale, partnering closely with model stack, research, and platform teams. Success for us is measured by raising both training throughput (how fast models train) and researcher throughput (how fast ideas become experiments and products). About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state of the art AI models), writing bug free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. In all the projects this role pursues, the ultimate goal is to push the field forward. We're looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. Since our training framework is used for large runs with massive numbers of GPUs, performance improvements here will have a large impact. 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: Apply the latest techniques in our internal training framework to achieve impressive hardware efficiency for our training runs Profile and optimize our training framework Work with researchers to enable them to develop the next generation of models You might thrive in this role if you: Have run small scale ML experiments Love figuring out how systems work and continuously come up with ideas for how to make them faster while minimizing complexity and maintenance burden Have strong software engineering skills and are proficient in Python About OpenAI OpenAI 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. 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. To notify OpenAI that you believe this job posting is non compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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.

About the team OpenAI'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 role Forward 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, 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 San Francisco. 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 will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production grade code across frontend and backend using Python, JavaScript, or comparable stacks Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience Simplify complexity and make fast, sound decisions under pressure Communicate clearly with engineers, product teams, and customer stakeholders Spot risks early and adjust without slowing down Model calm and judgment when the stakes are high About OpenAI OpenAI 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 Aff ? (exact text: For additional information, please see OpenAI's Aff ) Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this link. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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. Compensation Range: $180K - $280K

A leading AI research firm located in San Francisco is seeking a Software Engineer to shape the infrastructure for its financial systems. You'll design and build payment systems, collaborate with various teams, and ensure the reliability of money movement. Ideal candidates have over 5 years of experience in software engineering, especially in payment or financial systems. This position supports a hybrid work model, offering relocation assistance.

Support Systems Architect OpenAI About the Team The User Operations/SUPPORT team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early stage startups to established global enterprises. Given OpenAI's already breakneck shipping cadence - and the expectation that it will only accelerate - our ability to architect scalable systems for support readiness, user feedback, and broader program delivery is central to our ability to build world class products and to maintain exceptional support quality. About the Role We are seeking a systems minded builder who will design, prototype, implement, and iterate on the tooling, data flows, and processes that allows the User Operations team to redefine a modern support organization. Think: automated launch checklists, content and knowledge pipelines, incident detection and evaluators, and other processes that power a User Operations team operating at an unprecedented scale. You'd be building resilient systems, not better slide decks. We're looking for people who thrive at the intersection of project management, systems building, data science/data engineering/software engineering, team enablement, and customer advocacy - and enjoy working cross functionally in a fast paced, evolving environment. This role is based in San Francisco, California. 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 Build "Day 1 enabled" workflows; role tailored playbooks, content auto diffs from source docs, and other workflows that have been taken for granted in typical Support organizations. Continuously automate repetitive touchpoints with scripts, agents, and LLM powered flows; implement governance, observability, evaluation gates, and safe rollback. Codify detection (windowing, dedupe, thresholds), on call handoffs, and post incident learning loops that protect customer experience and SLAs. Prototype and learn quickly-leveraging ChatGPT, Jupyter notebooks, Retool, and other tools-to prove value before hardening with Engineering. Stand up data pipelines that capture sentiment, ticket trends, and BPO insights, routing actionable signals back to Product within hours-not weeks. Identify risks and challenges during tooling rollouts, proposing solutions that safeguard customer experience and service levels. Continuously automate, replacing every repetitive touchpoint with scripts, agents, or LLM powered flows. You Might Thrive In This Role If You Have 8+ years of experience in building tools for internal teams, especially within a customer support environment. Have shipped or maintained tools and automations (dashboards, ETL pipelines, low code apps) that eliminated manual work and scaled beyond a single team. Treat ChatGPT & LLMs as default co developers, rapidly turning natural language ideas into working code or queries. Deeply enjoy working cross functionally and are skilled at building relationships with Product, Engineering, and Operations teams. Are passionate about customer advocacy and have experience translating customer feedback into strategic product insights. Possess a strong bias for automation and a distaste for doing low complexity to otherwise repetitive work consistently. Thrive in a fast moving, ambiguous environment where priorities will shift quickly and iterating on your systems will be required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy. Compensation Range: $240K Seniority Level: Mid Senior Level Employment Type: Full time Job Function: Engineering and Information Technology Industries: Research Services

About The Team We're hiring software engineers to make the Workload team more productive. The Workload team maintains the core components of OpenAI's training and inference frameworks and helps execute frontier experiments. About The Role We're looking for someone who cares about the developer experience of working in and around OpenAI's core training and inference frameworks. In This Role You Will Be responsible for optimizing the development workflows of the engineers around you Work within various Workload teams to address their specific needs, but collaborate with the centralized teams that own various aspects of development experience Optimize iteration speed, both broadly, and in particular by optimizing specific teams' CI Improve reliability, for instance, by driving testing strategy for particular components Work through the long tail of things that it takes to build libraries and systems that will delight researchers You Might Thrive In This Role If You are motivated by helping people. You believe a thing that separates great teams from good teams are the players willing to do whatever work it takes, without ego. You believe in the power of developer experience. Something magical happens when people can quickly and confidently iterate on a simple codebase, but this magic is fragile and must be fought for. When you see someone trip over something, no matter how small, your first instinct is asking yourself what it would take for that to not happen again. Your second instinct is clicking merge on the PR you've already written to make it so. You are pragmatic. You have the ability to see the world through a perfectionist's eyes, but are not yourself a perfectionist. You know which problems to pick and when to switch to making progress on a different problem. You like going end-to-end on things. You love co-design - that feeling when you were only able to find the right solution because you both deeply understand the users that interact with a system and the system itself. You like working with Python About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At 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. Compensation Range: $255K - $405K

A leading AI research company in San Francisco is seeking a Software Engineer specializing in Operating Systems & Orchestration. You will manage infrastructure systems and automate processes to improve reliability. Ideal candidates have strong skills in software engineering and infrastructure environments, particularly with tools like Kubernetes and Terraform. This role offers a hybrid work model and competitive compensation ranging from $255K to $490K.