HPC Performance Engineer - GPU-Accelerated Optimization

NVIDIA; Schweiz; Vor Ort; EUR 95.536 - 138.961; Vollzeit

Zusammenfassung

NVIDIA is seeking an HPC Performance Engineer to optimize HPC applications across CPU and CPU/GPU platforms. You will analyze compilers, runtimes, and library components to drive performance improvements in a multi-node, multi-GPU environment.

Ideal candidates bring 5+ years of programming in Fortran/C/C++, deep knowledge of parallel architectures, and strong communication skills to collaborate with compiler and application teams.

Qualifikationen

• BS/MS or equivalent in Computer Science or related engineering field.
• 5+ years of programming experience.
• Strong grasp of Fortran, C, C++, parallel architectures, and compiler knowledge.
• Experience with OpenACC/OpenMP/MPI/CUDA and parallelism standards.
• Demonstrated performance analysis, tuning, and familiarity with HPC tools.

Aufgaben

• Analyze effects of compilers and optimizations on HPC application performance.
• Evaluate improvements from compiler/runtime on CPU and CPU/GPU platforms.
• Communicate limits of compiler capabilities to guide improvements.
• Port HPC applications to different platforms and programming models.
• Assess impact of NVHPC components, device drivers, and system configs on performance.

Kenntnisse

Fortran

C

C++

OpenACC

OpenMP

MPI

CUDA

Parallel computing

Performance analysis

Communication

Ausbildung

BS/MS or equivalent experience in Computer Science or related engineering field

Tools

CUDA Toolkit

NVIDIA Nsight

Profiling tools

Jobbeschreibung

NVIDIA is seeking an HPC Performance Engineer to optimize HPC applications across CPU and CPU/GPU platforms. You will analyze compilers, runtimes, and library components to drive performance improvements in a multi-node, multi-GPU environment.

Ideal candidates bring 5+ years of programming in Fortran/C/C++, deep knowledge of parallel architectures, and strong communication skills to collaborate with compiler and application teams.