Senior Software Engineer, Automation Infrastructure

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Analytical thinking","Problem-solving","Self-motivation","Communication","Organizational skills"]

Build and maintain PerfLab benchmark infrastructure for evaluating accelerated computing and AI workloads. Own platform components end-to-end—from problem discovery and technical design through production deployment and adoption. Automate benchmark definition, execution, validation, and reporting across local, cluster, and cloud-native environments, improving reliability, scalability, observability, and reproducibility while diagnosing issues across Linux, containers, distributed jobs, and storage/networking.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Software Engineer, Automation Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 minutes agoStatus: Live

Job Summary

Build and maintain PerfLab benchmark infrastructure for evaluating accelerated computing and AI workloads. Own platform components end-to-end—from problem discovery and technical design through production deployment and adoption. Automate benchmark definition, execution, validation, and reporting across local, cluster, and cloud-native environments, improving reliability, scalability, observability, and reproducibility while diagnosing issues across Linux, containers, distributed jobs, and storage/networking.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain reusable software, services, and workflows that automate benchmark definition, execution, result collection, validation, and reporting across environments.
  • •Perform performance testing and analysis; translate real-world needs into scalable, user-friendly solutions.
  • •Improve reliability, scalability, observability, and reproducibility of large benchmark campaigns.
  • •Diagnose complex issues across applications, Linux systems, containers, distributed jobs, compute resources, networking, and storage.
  • •Collaborate with performance engineers, QA teams, product teams, and other customers; drive projects from concept through adoption, including code reviews and documentation.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • •5+ years of relevant software engineering experience in system software, infrastructure, developer platforms, distributed systems, or production automation.
  • •Strong Python skills building production-quality tools, services, or automation frameworks.
  • •Solid Linux and system-level understanding (processes, concurrency, networking, storage, resource management, failure handling).
  • •Hands-on experience with containers and at least one orchestration/scheduling or distributed computing platform, plus designing reliable pipelines with observability and recovery behavior.
Experience:Distributed systemsInfrastructureDeveloper platformsProduction automationMachine learning
Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering
Skills:Analytical thinkingProblem-solvingSelf-motivationCommunicationOrganizational skills
Tech Stack:PythonLinuxContainersCloud-nativeDistributed computingNetworkingStorage

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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