HPC Performance Architect for GPU-Accelerated Systems

NVIDIA Corporation; Grézet-Cavagnan; Hybrid; EUR 110,000 - 170,000; Full time

Job summary

NVIDIA Corporation in France is seeking a senior HPC performance expert to analyze and optimize large-scale applications running on GPU-accelerated systems. You will work with distributed-memory codes across CPUs, GPUs and many-core processors to identify optimization opportunities for compiler and applications teams.

You will translate performance findings into actionable improvements, mentor teams, and engage with customers to accelerate HPC workloads.

Qualifications

• 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.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Understand performance considerations, tradeoffs and impact.
• Excellent written and verbal communication skills.
• Experience leading and/or managing projects is a plus.

Responsibilities

• Assist customers GPU accelerate HPC applications.
• Analyze High Performance Computing(HPC) applications to better understand their performance characteristics.
• Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications.

Skills

Fortran/C/C++

OpenACC

OpenMP

MPI

CUDA

Performance analysis

Communication skills

Team leadership

Education

BS/MS or equivalent experience in Computer Science

Job description

NVIDIA Corporation in France is seeking a senior HPC performance expert to analyze and optimize large-scale applications running on GPU-accelerated systems. You will work with distributed-memory codes across CPUs, GPUs and many-core processors to identify optimization opportunities for compiler and applications teams.

You will translate performance findings into actionable improvements, mentor teams, and engage with customers to accelerate HPC workloads.