This role focuses on accelerating energy simulation and AI workflows on NVIDIA platforms through deep CUDA performance optimization
Job Summary
This role focuses on accelerating energy simulation and AI workflows on NVIDIA platforms through deep CUDA performance optimization.
Candidates will work hands-on with customer teams to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.
The position requires a strong track record of delivering performance improvements in HPC domains such as seismic processing and power grid simulations.
Matching Summary
This role focuses on accelerating energy simulation and AI workflows on NVIDIA platforms through deep CUDA performance optimization.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
CUDA programming and GPU optimization
C/C++ and Python on Linux
NVIDIA Nsight Systems/Compute profiling
Multi-GPU and multi-node scaling with MPI
Seismic processing or reservoir simulation experience
Nice-to-have
Experience leading customer performance reviews
Creation of reusable playbooks and reference designs
Familiarity with containerized workflows like Docker/Apptainer
Knowledge of CI/perf regression testing practices
Integration of AI workflows with simulation pipelines
Key Requirements
BS/MS in CS, CE, EE, Physics, or Applied Math
5+ years of relevant experience in GPU/HPC optimization