Senior Performance Engineer

NVIDIA
Zurich, Switzerland
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Communication","Cross-functional collaboration"]

Build and evolve systems for performance analysis, telemetry, and optimization across large-scale GPU and CPU clusters supporting AI and high-performance computing. Profile and benchmark workloads, analyze networking and collective communication performance (NCCL, RDMA, MPI, RoCE), identify bottlenecks, and develop diagnostic tools. Partner with hardware, firmware, networking, systems, and software teams to deliver actionable insights and maintain high data quality, reproducibility, and traceability.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Performance Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and evolve systems for performance analysis, telemetry, and optimization across large-scale GPU and CPU clusters supporting AI and high-performance computing. Profile and benchmark workloads, analyze networking and collective communication performance (NCCL, RDMA, MPI, RoCE), identify bottlenecks, and develop diagnostic tools. Partner with hardware, firmware, networking, systems, and software teams to deliver actionable insights and maintain high data quality, reproducibility, and traceability.
Location: Zurich, Switzerland
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key 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 collaborate with cross-functional teams to provide actionable performance insights.

Key Requirements

  • •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 methodologies and skills.
  • •Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control).
  • •Strong analytical, problem-solving, and communication skills in cross-functional, fast-paced R&D teams.
Experience:5+ yearsAIHPCHigh-performance networking
Education:Bachelor's in Computer Science, Computer Engineering, Software Engineering
Skills:Analytical thinkingProblem-solvingCommunicationCross-functional collaboration
Tech Stack:PythonBashC/C++LinuxCUDANCCLRDMAMPIRoCEPyTorchTensorFlowPCIeGPUs

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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