Software Engineer, Developer Productivity - Inference Runtime

Runtime - San Francisco

About the Team

We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliablyance.

This role sits at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. You’ll work on the tooling and operational foundations that support model launches, inference optimizations, cloud provider integrations, and large-scale deployments across a rapidly evolving inference stack.

About the Role

We’re looking for an autonomous, high-ownership engineer who cares deeply about making other engineers faster, safer, and more confident.

A major focus of this role will be improving the tooling and infrastructure around deploy gates for inference engine images. These systems help ensure that every image released to production and research is correctant across key metrics like time-to-first-token (TTFT) and time-between-tokens (TBT).

You’ll help harden the systems that catch issues before they reach production, reduce noise from flaky or infrastructure-related test failures, and improve automation around triage, ownership, debugging, and escalation when failures occur. You’ll also work on improving observability, rollout safety, release automation, and developer self-service tooling across a rapidly evolving inference stack.

This is not generic internal tools work. The systems you build directly impact OpenAI’s ability to support new model launchess in the world.

In this role, you will:

• Improve systems that ensure inference engine releases are correctant, and regression-free by evolving tooling and infrastructure for deploy gate validation
• Bring rigor to release, validation, branching, and deployment processes across the inference stack
• Improve canary, async, and large-scale validation workflows for inference systems
• Harden CI, testing, and validation infrastructure so failures are actionable and trustworthy
• Reduce noisy or flaky failures caused by infrastructure instability, GPU scheduling, or test environment issues
• Build automation for failure triage, ownership detection, debugging, and escalation
• Partner closely with inference teams, research developer productivity, engine acceleration, and infrastructure teams to improve release quality and rollout safety
• Reduce developer friction in testing, debugging, and release workflows so engineers can move faster with confidence

You might thrive in this role if:

• You have strong experience with CI/CD systems, testing infrastructure, release tooling, developer productivity, or large-scale build and validation systems
• You are excited by high-impact infrastructure where small regressions in correctness, latency, or reliability meaningfully affect production systems
• You care about building systems engineers can trust, not just systems that technically function
• You have strong developer empathy and enjoy improving workflows, reducing friction, and making engineers more effective
• You demonstrate high ownership and proactively identify problems, drive improvements, and follow issues through resolution
• You are comfortable working in Python-heavy environments and debugging complex distributed systems
• You enjoy building automation that reduces manual triage, improves signal quality, and scales operational effectiveness
• You are comfortable operating in ambiguous areas without a fully predefined roadmap
• You enjoy partnering closely with engineers to understand workflows, pain points, and operational challenges
• You are pragmatic, collaborative, and motivated by helping teams move faster with more confidence
• You are excited to learn about large-scale inference systems, even if you have not worked directly on inference before

Python experience is highly relevantance-sensitive systems, but it is not required.

Prior inference experience is not required.

The ideal candidate is someone with strong instincts around developer productivity, testing, release engineering, and automation who is excited to apply those skills in a deeply impactful inference environment. We’re looking for someone who is technically curious, comfortable navigating ambiguous, cross-functional operational problems, and is motivated to improve the reliability, safety, and developer experience of large-scale production infrastructure.

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 the full spectrum of humanity.

We are an equal opportunity employeration, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities.

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

$230K – $385K

The base pay offered may vary depending on multiple individualized factorsance-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.