Forward Deployed Engineer (FDE) - AI Infra - SF
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.
Forward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems, structure delivery, and ship fast.
What you'll do:
- Own technical delivery for agreed semiconductor and AI-infrastructure workstreams, from initial scoping and prototypes through validation, production deployment and adoption.
- Work closely with customer engineers to understand their workflows and constraints, define workloads, baselines and success criteria, and help what you build become part of how they work.
- Scope and sequence delivery , identify dependencies and blockers early, and make practical trade-offs between scope, speed and quality as the work develops.
- Personally build and debug production-quality software , including harnesses, integrations and product features that apply frontier models to problems in chip design, verification, inference and performance engineering.
- Design reproducible experiments, evaluations, graders and benchmarks to test approaches, validate correctness and performance, and establish whether improvements hold up in real engineering environments.
- Investigate model behavior and failure modes alongside researchers , contributing evaluation or training data and targeted experiments where they can improve the underlying capability.
Full details and application on the official OpenAI careers page.