Senior HPC & AI Performance Engineer

NVIDIA Corporation; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

NVIDIA Corporation in the United States seeks a Senior Performance Engineer to join our Performance and R&D teams. You will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and HPC environments.

You will profile, benchmark, and analyze AI and HPC workloads, explore high-performance networking, identify bottlenecks across computing, memory, and system architecture, and develop tools and test plans.

Qualifications

• B.Sc. or M.Sc. in CS, CE, or Software Engineering, or equivalent experience.
• 5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure.
• Demonstrated expertise in performance analysis skills and methodologies.
• Hands-on experience with high-performance networking (RDMA, MPI, NCCL)
• Strong understanding of performance metrics (latency, throughput, resource utilization)
• Exposure to hardware, firmware, or embedded telemetry environments
• Strong analytical, problem-solving, and communication skills
• Ability to work effectively in cross-functional, fast-paced R&D teams

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

HPC infrastructure

GPU clusters

Networking (RDMA MPI NCCL)

Profiling tools

Cross-functional collaboration

Analytical thinking

Communication skills

Education

Bachelor's or Master's in CS/CE/EE

Tools

Python

C/C++

Linux

NVIDIA CUDA

Job description

NVIDIA Corporation in the United States seeks a Senior Performance Engineer to join our Performance and R&D teams. You will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and HPC environments.

You will profile, benchmark, and analyze AI and HPC workloads, explore high-performance networking, identify bottlenecks across computing, memory, and system architecture, and develop tools and test plans.