ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale.
Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage.
We are looking for a software engineer with experience building or operating large-scale production systems.
You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort.
This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale.
Build and evolve the platform used to deploy, configure, and manage models across ChatGPT.
Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.
Create abstractions and tooling that simplify complex infrastructure and improve the developer experience.
Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery.
Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them.
Build systems that support capacity planning, resource allocation, and infrastructure utilization.
Partner with research, infrastructure, and product engineering teams to identify common challenges and deliver reusable platform capabilities.
Shape the technical direction of the model management platform as ChatGPT and its underlying systems continue to evolve.
Have built or operated internal platforms, distributed systems, or large-scale production infrastructure.
Enjoy turning complex operational problems into reliable software and reusable abstractions.
Have experience with deployment systems, orchestration, configuration management, or infrastructure automation.
Understand production reliability, observability, capacity planning, and incident response.
Care about developer experience and building tools that make other engineering teams more effective.
Are comfortable working across organizational boundaries and taking ownership from system design through production operation.
Thrive in fast-moving environments with significant technical ambiguity.
Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware.
Five or more years of software engineering experience building production infrastructure.
Strong programming skills in Go, Python, C++, Rust, or a comparable language.
Experience designing or operating highly available distributed systems.
Experience with platform engineering, infrastructure engineering, production engineering, site reliability engineering, or similar disciplines.
Strong systems design, debugging, and operational problem-solving skills.
Strong communication skills and experience collaborating across engineering teams.
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.
Design and harden the software platform for heavy-machinery automation, owning ROS2 architecture, system orchestration, hardware integration, and real-world validation with cross-functional robotics teams.
Design and improve NPC gameplay systems for animation, locomotion, and navigation, creating believable movement and interactions while owning features from technical design through implementation, testing, and iteration.
Own end-to-end systems engineering for LEO payloads, from mission requirements and RF sensing algorithms through payload integration, verification, environmental testing, and on-orbit commissioning.
Own payments infrastructure problems end to end, from customer conversations and API design to production code and impact measurement, while shaping technical direction and mentoring engineers as a hands-on senior individual contributor.
Design and deliver a cloud-native maintenance planning platform, modernize legacy systems, shape technical requirements, and guide architecture, security, and end-to-end delivery with engineering and government stakeholders.
