Kernel Engineer — Scientific Computing (SPU)
Tasks
- Analyzing and optimizing memory access patterns
- Collaborating with hardware architects on algorithm architecture tradeoffs
- Designing microbenchmarks and correctness and numerical accuracy tests
- Ensuring kernels map to the SPU programming model with compiler and runtime support
- Prototyping and implementing core kernels and low level numerical primitives
- Refining kernels based on profiler output and measured performance
- Translating mathematical formulations into executable kernel implementations
Perks/Benefits
- N/A
Skills/Tech-stack
Atomic operations | C++ | CUDA | Concurrency | Debugging | Low-level performance | Low-level performance engineering | Memory hierarchy | Numerical Methods | Parallel Programming | Performance Engineering | Profiling | Python | SIMD | SIMT
Education
N/A
Roles
Regions
Countries
States
Cities
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