Forward Deployed Engineer AI Infra

AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.

Recently funded151 current maintainers88 active leads20 new active leads99 lead step-downs12 early lead departures
San Francisco, United States
About OpenAI

OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead semiconductor and AI-infrastructure deployments from scoping through production adoption. You will build and debug production software, design reproducible experiments and benchmarks, validate performance, investigate model behavior, and turn successful approaches into reusable tools and playbooks. You will align customer, product, and research stakeholders while managing delivery risks and trade-offs.

Requirements

  • 5+ years of engineering or technical deployment experience including customer-facing work
  • Experience delivering complex systems in fast-moving or ambiguous environments
  • Production-grade software development and debugging experience
  • Experience building or deploying systems powered by LLMs or generative models
  • Applied machine learning, model evaluation, data quality, experimentation, or model-behavior analysis experience
  • Ability to create credible baselines and reproducible experiments
  • Experience with semiconductor development, data-center systems, or inference engineering

Responsibilities

  • Own technical delivery from scoping and prototypes through production deployment and adoption
  • Work with customer engineers to define workloads, baselines, and success criteria
  • Scope and sequence delivery and manage dependencies and blockers
  • Build and debug production-quality software, harnesses, integrations, and product features
  • Design reproducible experiments, evaluations, graders, and benchmarks
  • Investigate model behavior and failure modes
  • Contribute to core product development
  • Lead technical discussions across customer, product, and research stakeholders
  • Turn successful approaches into reusable software, tools, and playbooks

Benefits

  • Equity
  • Medical, dental, and vision insurance
  • Employer contributions to Health Savings Accounts
  • Pre-tax Health FSA, Dependent Care FSA, and commuter accounts
  • 401(k) retirement plan with employer match
  • Paid parental, medical, and caregiver leave
  • Flexible PTO or up to 15 days of annual PTO, depending on exemption status
  • Paid company holidays, office closures, and sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Daily office meals and eligible meal-delivery credits
  • Relocation support for eligible employees
  • Charitable donation matching and wellness stipends may be provided