December 16, 2023
🏡 Remote – New York
• Abstracting cloud and physical GPU resources. • Implementing a caching system for models and datasets. • Profiling and optimizing third-party C++ code. • Using eBPF for continuous system profiling. • Turning man pages into bug fixes. • Creating observability tools for distributed systems. • Writing shaders, learning about video encoding on the GPU, etc.
• Very comfortable writing Python and reading bash. • Obsessive about deeply understanding how systems work. • Happy to debug any weird problem all the way down. • Familiar with Docker, cloud services, physical servers, systems internals. • Excited to work on open source code. • Passionate about engineering best practices. • Self-directed and independent. • Excellent at getting things done.
• Work directly on creating software with human-like intelligence. • Generous compensation, equity, and benefits. • Spend time learning and pairing with world-class engineers working across diverse problems who are excited share their knowledge to get you up to speed. • Actively co-create and participate in a positive, intentional team culture. • Frequent team events, dinners, off-sites, and hanging out. • $20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.
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