Applied Math Libraries Engineer (SPU)
Tasks
- Collaborate with compiler engineers
- Collaborate with hardware architects
- Collaborate with runtime engineers
- Create correctness tests for numerical accuracy
- Design benchmarks for numerical libraries
- Develop performance models for scientific workloads
- Evaluate algorithm architecture tradeoffs
- Implement numerical linear algebra libraries
- Iterate based on hardware evolution and benchmark results
- Map numerical primitives to programming model
- Prototype numerical linear algebra kernels
- Translate mathematical algorithms into executable software
- Write C reference implementations
- Write C++ reference implementations
- Write Python reference implementations
Perks/Benefits
- N/A
Skills/Tech-stack
Arithmetic intensity | Atomics | BLAS | Bandwidth) | C# | C++ | CUBLAS | CUDA | CUFFT | Cache behavior | CuSOLVER | CuSPARSE | Eigen | FFTW | HIP | LAPACK | MPI | Memory layout | NVIDIA SASS | OpenMP | Parallel execution | Petsc | Python | Race conditions | SYCL | SuiteSparse | Synchronization
Education
N/A
Regions
Countries
States
Cities
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