August 14
🏢 In-office - Bay Area
• Design and optimize kernels that interface directly with our hardware • Work in partnership with our ML Research and Hardware Engineering teams • Provide expertise and guidance on hardware architecture from a programmer's perspective, ensuring seamless integration with the software stack
• Bachelor of Computer Science or equivalent degree • Experience optimizing software for specialized hardware, employing techniques such as parallelism, SIMD programming, C, assembly-level optimization, or GPU/CUDA programming • Language: at least one of assembly, C++, C, Zig, or Rust
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