Senior Performance Engineer

NVIDIA
United Kingdom, Switzerland, Germany
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Communication","Prioritization","Cross-team alignment","Problem analysis","Performance analysis"]

Advance performance, efficiency, and resiliency of large-scale AI workloads in DGX Cloud. Characterize end-to-end behavior across GPUs, networking, storage, and software stacks by running performance studies, establishing baselines, and diagnosing regressions. Define benchmarks and success metrics, use profiling and observability to identify bottlenecks, and collaborate with deep learning, platform, and GPU architecture teams to validate and deploy optimizations.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Senior Performance Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 29 minutes agoStatus: Live

Job Summary

Advance performance, efficiency, and resiliency of large-scale AI workloads in DGX Cloud. Characterize end-to-end behavior across GPUs, networking, storage, and software stacks by running performance studies, establishing baselines, and diagnosing regressions. Define benchmarks and success metrics, use profiling and observability to identify bottlenecks, and collaborate with deep learning, platform, and GPU architecture teams to validate and deploy optimizations.
Location: United Kingdom, Switzerland, Germany
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.
  • •Design and execute performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.
  • •Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.
  • •Use profiling, observability, and data analysis to convert performance measurements into actionable optimization plans.
  • •Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

Key Requirements

  • •BS or higher degree in computer science, computer engineering, or a related field, with 12+ years of experience.
  • •Strong programming skills in C++ and Python to build reliable analysis and automation workflows.
  • •Solid foundation in operating systems, computer architecture, and distributed systems.
  • •Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems.
  • •Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams.
Experience:12+ yearsAI workloadsDistributed systemsLarge-scale AI clustersDeep learning frameworksGPU computing
Education:Bachelor's in computer science, computer engineering, or a related field
Skills:CommunicationPrioritizationCross-team alignmentProblem analysisPerformance analysis
Tech Stack:C++PythonCUDAGPU computingOperating systemsComputer architectureDistributed systemsProfilingObservabilityPyTorchJAXXLA

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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