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Software Engineer, Distributed Systems

Optimize end-to-end system for maximum performance and scalability.
San Francisco Bay Area
Senior
$245,000 - 385,000 USD / year
1 month ago

✨ About The Role

- The role involves working on building robust, scalable, high-performance components to support distributed training workloads - Responsibilities include delivering powerful APIs orchestrating thousands of computers moving/persisting vast amounts of data - The position requires optimizing and designing for scale the compute and data capabilities across Python and Rust stack - The job involves deploying training frameworks to the latest supercomputers and rapidly responding to changing needs of ML systems - The focus is on maximizing productivity of researchers and hardware to accelerate progress towards Artificial General Intelligence (AGI)
- Experienced in optimizing end-to-end systems and understanding high-performance I/O to maximize local and distributed performance - Strong software engineering skills with proficiency in Python and Rust - Thrives in a fast-paced environment, continuously coming up with ideas to enhance system speed while minimizing complexity - Enjoys working on large distributed systems and is passionate about making systems faster and more efficient - Comfortable working on deploying training frameworks to supercomputers and adapting to evolving needs of ML systems
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Software Engineer, Distributed Systems
San Francisco Bay Area
$245,000 - 385,000 USD / year
Engineering
About OpenAI
Building artificial general intelligence