OpenAI - Software Engineer, Model Deployment- ChatGPT Engineering
Requirements
• 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. • 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.
Responsibilities
• 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.
Benefits
• The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) • 401(k) retirement plan with employer match • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) • Mental health and wellness support • Employer-paid basic life and disability coverage • Annual learning and development stipend to fuel your professional growth • Daily meals in our offices, and meal delivery credits as eligible • Relocation support for eligible employees • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. • More details about our benefits are available to candidates during the hiring process. • This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. • 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.
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