Performance Engineer

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Communication","Organizational","Time management","Task prioritization","Analytical and troubleshooting"]

Join NVIDIA’s Perflab in Shanghai to design and run representative benchmarks across AI/LLM, gaming, visualization, and system workloads. You’ll analyze performance metrics and telemetry to find bottlenecks and regressions, write data-driven competitive reports, and develop automation scripts and scalable benchmarking frameworks. Work across Windows, Linux, and macOS while building dashboards, AI agents, and data pipelines to improve testing coverage and analytical robustness.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Performance Engineer

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

Job Summary

Join NVIDIA’s Perflab in Shanghai to design and run representative benchmarks across AI/LLM, gaming, visualization, and system workloads. You’ll analyze performance metrics and telemetry to find bottlenecks and regressions, write data-driven competitive reports, and develop automation scripts and scalable benchmarking frameworks. Work across Windows, Linux, and macOS while building dashboards, AI agents, and data pipelines to improve testing coverage and analytical robustness.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design, configure, and execute representative benchmark methodologies and real-world use cases across AI/LLM, gaming, workstation, content-creation, and system workloads.
  • •Analyze performance metrics and system telemetry to identify bottlenecks, regressions, and optimization opportunities.
  • •Produce clear, data-driven competitive analyses and technical reports for internal and external stakeholders.
  • •Develop and debug automation scripts for benchmark performance and system monitoring data collection on Windows, Linux, and macOS.
  • •Build and maintain scalable automation frameworks, AI agents, dashboards, and data pipelines to improve testing efficiency, coverage, and analytical robustness.

Key Requirements

  • •BS or MS degree
  • •2+ years of practical experience in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field
  • •Strong Python skills (or proficiency in another scripting/programming language)
  • •Hands-on interest in AI/LLM workloads, PC gaming, workstation applications, and content-creation workflows
  • •Solid understanding of PC and server architecture plus experience analyzing large datasets and troubleshooting performance issues
Experience:2+ years
Education:Bachelor's
Skills:CommunicationOrganizationalTime managementTask prioritizationAnalytical and troubleshooting
Tech Stack:PythonWindowsLinuxMacOSAILLMAI inferenceAI trainingDockerKubernetesVirtual machinesDashboardsData pipelinesTelemetryBenchmarksAutomation scripts

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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