Platform Workload Engineer: Performance & E2E Testing

OpenAI; Seattle (WA); On-site; USD 293,000 - 455,000; Full time

Job summary

OpenAI is seeking an experienced Software Engineer in Seattle to enable production workloads and conduct end-to-end testing on cutting-edge platforms. Responsibilities include creating benchmark tests and validating workloads while ensuring stability and performance.

Candidates should have a BS in CS/EE, 5+ years in ML systems or distributed systems, and strong expertise in PyTorch. Join us in our mission to advance AI responsibly.

Qualifications

• 5+ years in ML systems, performance engineering, distributed systems, or HPC.
• Strong hands-on experience with PyTorch and large-scale distributed training concepts.
• Proficiency in Python plus comfort with C++/CUDA/HIP code is a plus.

Responsibilities

• Port and validate key inference and training workloads on new platforms/SKUs.
• Build benchmarks and stress tests capturing real E2E behavior.
• Partner with engineers to ensure platform stability and performance.

Skills

ML systems

performance engineering

distributed systems

HPC

PyTorch

Kubernetes

C++/CUDA/HIP

profiling/debugging

Education

BS in CS/EE or equivalent practical experience

Job description

OpenAI is seeking an experienced Software Engineer in Seattle to enable production workloads and conduct end-to-end testing on cutting-edge platforms. Responsibilities include creating benchmark tests and validating workloads while ensuring stability and performance.

Candidates should have a BS in CS/EE, 5+ years in ML systems or distributed systems, and strong expertise in PyTorch. Join us in our mission to advance AI responsibly.