Forward Deployed Engineer (FDE) - SF
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labremotesenior$185k–$300k
At a glance
Highlights
- Lead end-to-end deployments of frontier models with strategic customers.
- Turn research breakthroughs into production systems with measurable impact.
- Codify field learnings into tools that shape product and model roadmaps.
What they offer
- Relocation assistance
- Equity
Ideal candidate
Customer-obsessed engineer who thrives in ambiguity and owns complex deployments end-to-end. You stay calm under pressure, simplify complexity, and care about turning frontier AI into real production impact.
Requirements
- 5+ years of engineering or technical deployment experience including customer-facing work
- Scoped and delivered complex systems in fast-moving or ambiguous environments
- Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
- Built or deployed systems powered by LLMs or generative models
- Simplify complexity and make fast, sound decisions under pressure
- Communicate clearly with engineers, product teams, and customer stakeholders
- Spot risks early and adjust without slowing down
- remote policy
- Hybrid - 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets