Platform Systems Engineer – Observability & Scale
OpenAI
14 days+
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Job summary
A leading AI research organization is looking for a Software Engineer for their Platform Systems team in San Francisco. You will design and build systems for large-scale AI training workloads, focusing on reliability and performance. Ideal candidates should have a deep understanding of distributed systems, experience in debugging complex systems, and a passion for AI applications. The compensation range is competitive, from $310K to $460K annually.
Qualifications
- Experience in writing low-level software where system details matter.
- Understanding of hardware, operating systems, networking, and concurrency.
- Background in high-performance computing or systems engineering.
Responsibilities
- Design and build distributed failure detection and tracing systems.
- Develop tooling for identifying performance issues in training jobs.
- Collaborate with teams to evolve platform capabilities.
Skills
Performance analysis
Distributed systems
Debugging
Low-level software
Job description
A leading AI research organization is looking for a Software Engineer for their Platform Systems team in San Francisco. You will design and build systems for large-scale AI training workloads, focusing on reliability and performance. Ideal candidates should have a deep understanding of distributed systems, experience in debugging complex systems, and a passion for AI applications. The compensation range is competitive, from $310K to $460K annually.
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