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Senior Performance Engineer

NVIDIA· Engineer, Sys SW
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Hybrid (Remote - Switzerland), Hybrid (Zurich, Switzerland)Full-timePosted 2mo ago

About the role

Senior Performance Engineer to join NVIDIA’s Performance and R&D organizations. Focus on building and evolving systems for performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing. Collaborates across hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems in a fast-paced R&D environment.

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

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
  • Demonstrated expertise in performance analysis skills and methodologies
  • Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control)
  • Strong understanding of system 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

Skills

Required:Performance analysisBenchmarkingHigh-performance networkingSystem performance metricsCommunicationCross-functional collaboration
Nice to have:Telemetry / data collection

Benefits

  • Competitive salaries
  • Comprehensive benefits package
  • Opportunity to work in a diverse, equal opportunity environment
Last updated Aug 7, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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