Software Engineer, Computer-Using Agent

About the TeamThe Computer-Using Agent team is responsible for developing and deploying computer-using agents—agents that operate graphical user interface-based tools such as computers and browsers. As the team behind Operator, OpenAI's externally released computer-using agent product, we collaborate with cross-functional teams at every training and deployment stage to advance the capabilities of these agents. We evaluate and enhance their capabilities holistically, considering aspects such as perception, reasoning, manipulation, long-horizon reliability, safety and more. Combining rigorous research with high-quality engineering across evaluation, data, training, RL environments and shared infrastructures, we aim to create reliable and practical computer-using agents.About the RoleWe’re looking for strong engineers to help unblock and drive critical infrastructure work related to training, operating and deploying our computer-using agent. You will play a crucial role in designing and maintaining robust and secure systems that facilitate the training of next-gen computer-using agents at a massive scale. You will work closely with researchers to enhance system capabilities and support experimental and production workloads.You will work directly on the systems that allow models to control entire operating systems, browse the internet, and take actions in secure environments. We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for specialized use cases.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:You will oversee the development and performance of CUA-specific containers on extremely high-scale Kubernetes clusters, ensuring functionality, security, and reliability.Use Terraform to create and manage complex large-scale infrastructure that powers our RL training environmentDevelop and maintain Python/FastAPI/gRPC services that manage our large-scale AI computing environment.Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.Design, implement, test, and debug code across our research stack.You might thrive in this role if you: Have experience building backend infrastructure that is easy to maintain.Have experience building products that end users interface with.Have experience making things go fast.Understand how the web works in general e.g. HTTP, DOM, javascriptHave experience with, or willing to learn how to customize and debug browsers, e.g. developer tools, CDP, extensions etc.Have a passion for learning new programming languages / technologiesEnjoy creating simple impactful systems and frameworks with strong test infrastructureAre a team player, willing to do a variety of tasks that move the team forward.Enjoy fast-paced, collaborative, and cutting-edge research environments.Have experience working on large-scale Machine Learning infrastructure and distributed systems.Know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.Have mastered more than multiple programming languages and feel comfortable spinning up new services from scratch.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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