OpenAI
Forward Deployed Engineer (FDE) - AI Infra - SF
$185K–$300K
San Francisco · Hybrid · Full-time · Posted Oct 26, 2026
- Experience
- 5+ years of engineering or technical deployment experience, including customer-facing work.
About the job
Leads customer-facing deployments of frontier models for semiconductor and AI-infrastructure problems, building, testing, and deploying software and reusable product improvements.
What you'll do
- Own delivery from scoping and prototyping through validation, production deployment, and adoption.
- Build and debug software; design reproducible experiments, evaluations, and benchmarks for correctness and performance.
- Coordinate customer, Product, and Research teams and turn successful approaches into reusable tools and playbooks.
What they ask for
- 5+ years of engineering or technical deployment experience that includes customer-facing work.
- Experience scoping and delivering complex systems in fast-moving or ambiguous environments.
- Ability to write and review production-grade software and debug unfamiliar systems.
- Experience building or deploying systems powered by LLMs or generative models.
Nice to have
- Hands-on experience with applied machine learning, model evaluation, data quality, experimentation, or model-behavior analysis.
- Experience in semiconductor development, data-center systems, or inference engineering.
Pay
$185K – $300K USD base salary
Tools
LLMs
AI focus
Applies frontier models to chip design, verification, inference, and performance engineering; evaluates model behavior and failure modes, and contributes evaluation or training data and experiments to improve model capabilities.
Model-written summary · the original posting is authoritative