Senior Performance Engineer, HPC & AI Systems

NVIDIA Corporation; Grézet-Cavagnan; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

NVIDIA Corporation seeks a Senior Performance Engineer to join our Performance and R&D organizations in France. You will profile, benchmark, and optimize AI and HPC workloads on GPU/CPU clusters, collaborating with hardware, firmware, networking, and software teams to derive actionable performance insights.

Candidates bring 5+ years in performance analysis or HPC/AI infrastructure, strong networking knowledge (RDMA, MPI, NCCL), and proficiency with Python, Linux, and C/C++.

Qualifications

• B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience.
• 5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure.
• Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
• Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)
• Identify performance bottlenecks across networking, compute, memory, and system architecture
• Develop and enhance performance analysis, benchmarking, and diagnostic tools
• Define performance test plans and establish expectations for new technologies and platforms
• Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
• Support telemetry collection and data refinement efforts to enable accurate performance analysis
• Maintain high standards for data quality, reproducibility, and traceability of performance results

Skills

Performance analysis

Systems engineering

HPC/AI infrastructure

RDMA

MPI

NCCL

CUDA

Linux

Python

Education

B.Sc./M.Sc. in CS/CE/EE

Tools

PerfTools

Telemetry

Job description

NVIDIA Corporation seeks a Senior Performance Engineer to join our Performance and R&D organizations in France. You will profile, benchmark, and optimize AI and HPC workloads on GPU/CPU clusters, collaborating with hardware, firmware, networking, and software teams to derive actionable performance insights.

Candidates bring 5+ years in performance analysis or HPC/AI infrastructure, strong networking knowledge (RDMA, MPI, NCCL), and proficiency with Python, Linux, and C/C++.