Software Engineer, Parallel Scientific Computing
Tasks
- Collaborate with architecture and performance teams to co design solutions
- Debug across abstraction layers from algorithms to hardware
- Develop and optimize performance critical kernels
- Develop high level reference implementations for scientific applications
- Implement and parallelize scientific applications using SDK
- Improve compilation flow runtime and hardware utilization
- Map mathematical formulations to parallel hardware
- Perform performance optimization loops with benchmarking profiling and bottleneck fixes
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | C++ | CUDA C++ | Computer Architecture | High Performance | High-Performance Computing | Linux | Numerical Methods | Parallel Computing | Parallel Programming | Performance Computing | Profiling | Python
Education
Roles
Regions
Countries
States
Cities
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