Senior HPC Performance Engineer — GPU Optimization

name; Schweiz; Vor Ort; CHF 140.000 - 230.000; Vollzeit

Benefits dieser Stelle

Competitive salaries

Generous benefits package

Equal opportunity employer

Zusammenfassung

NVIDIA is seeking a seasoned HPC analyst in the NVHPC group to analyze and run HPC applications on HPC servers, uncovering performance characteristics and optimization opportunities.

You will work on benchmarks and full distributed-memory workloads across CPUs, GPUs, and many-core systems, delivering guidance to compiler and applications teams. Strong math, parallel programming, and communication skills are essential.

Qualifikationen

• BS/MS or equivalent experience in Computer Science or related engineering field.
• 8+ years of programming experience.
• Solid understanding of Fortran/C/C++, parallel architectures; experience with OpenACC, OpenMP, MPI, CUDA.
• Strong skills in performance analysis and tuning; broad tools/runtime environments.
• Strong mathematical fundamentals (linear algebra, numerical methods).
• Excellent written and verbal communication skills.
• Ability to work in a dynamic, product-oriented team.
• Experience leading or managing projects is a plus.

Aufgaben

• Analyze HPC applications to understand performance characteristics.
• Identify optimization opportunities for compiler and applications teams.
• Assist customers in GPU-accelerated HPC applications.
• Advise and drive development based on analysis.

Kenntnisse

Fortran/C/C++

Parallel programming

OpenACC

OpenMP

MPI

CUDA

Performance analysis

Math fundamentals

Communication skills

Project leadership

Ausbildung

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

Tools

Debugging tools

Porting

Assembly language programming

Jobbeschreibung

NVIDIA is seeking a seasoned HPC analyst in the NVHPC group to analyze and run HPC applications on HPC servers, uncovering performance characteristics and optimization opportunities.

You will work on benchmarks and full distributed-memory workloads across CPUs, GPUs, and many-core systems, delivering guidance to compiler and applications teams. Strong math, parallel programming, and communication skills are essential.