Forward Deployed Engineer (FDE) - AI Infra - SF
OpenAI · San Francisco
Frontier labremotesenior$185k–$300k
At a glance
Highlights
- Lead frontier model deployments from scoping and prototypes to production.
- Embed with customers to optimize inference and chip-design workflows.
- Turn successful approaches into reusable tools for future engagements.
What they offer
- Equity
- Relocation assistance
Ideal candidate
A customer-obsessed engineer who thrives in ambiguity and owns delivery end-to-end, staying calm under pressure while turning research breakthroughs into real production impact.
Requirements
- 5+ years of engineering or technical deployment experience including 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
- Strong communication with engineers, product teams, and customer stakeholders
- Ability to simplify complexity and make fast, sound decisions under pressure
- remote policy
- Hybrid with 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
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