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Senior Software Engineer, Automation Infrastructure

NVIDIA· Engineer, Sys SW
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Shanghai, Chinafull-timePosted 2mo ago

About the role

NVIDIA PerfLab seeks an experienced System Software Engineer to design, build, and operate scalable benchmark infrastructure and automation for evaluating performance and quality of AI workloads, collaborating globally and driving adoption from concept to production.

Responsibilities

  • Define the technical direction and architecture for major areas of PerfLab's benchmark infrastructure, translating evolving business and engineering needs into clear roadmaps and scalable platform capabilities.
  • Lead the design and implementation of reusable software, services, and workflows that automate benchmark definition, execution, result collection, validation, and reporting across local, cluster, and cloud-native environments.
  • Remain hands-on with performance testing and analysis, developing a deep understanding of existing workflows and using that knowledge to guide platform investments and technical decisions.
  • Establish engineering approaches that improve the reliability, scalability, observability, maintainability, and reproducibility of large benchmark campaigns.
  • Lead the diagnosis of complex, cross-layer issues spanning applications, Linux systems, containers, distributed jobs, compute resources, networking, and storage.
  • Build strong partnerships with performance engineers, QA teams, product teams, and other customers; create alignment across organizations and drive high-impact ideas and projects from concept through adoption.
  • Provide technical leadership through architecture and code reviews, clear decision-making, high engineering standards, and mentoring of other engineers.
  • Identify emerging technologies, including AI-assisted automation, and determine where they can deliver meaningful improvements in benchmark creation, failure triage, data analysis, or engineering productivity.
  • Contribute to the strategy and development of internal and open-source infrastructure projects, and help grow their adoption across teams.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
  • 6+ years of relevant software engineering experience in system software, infrastructure, developer platforms, distributed systems, or production automation.
  • Strong Python programming and software engineering expertise, with a track record of building and operating production-quality tools, services, or automation frameworks.
  • Solid understanding of Linux and system-level concepts such as processes, concurrency, networking, storage, resource management, and failure handling.
  • Extensive experience with containers and workload orchestration, scheduling, or distributed computing platforms, including the design of reliable systems with clear interfaces, testing, observability, and recovery behavior.
  • Knowledge of machine learning, AI, or accelerated-computing workloads and experience reasoning about their performance, quality, and operational tradeoffs.
  • Proven technical leadership on sophisticated, multi-functional projects, including defining architecture, managing technical risk, resolving ambiguity, and driving solutions through delivery and adoption.
  • Strong analytical and problem-solving abilities, with the judgment to prioritize effectively, manage multiple initiatives, and adapt in a dynamic, constantly evolving environment.
  • Excellent communication, organizational, and influencing skills, with the ability to align globally distributed collaborators and drive decisions.
  • A record of mentoring engineers, elevating engineering quality, and helping teams make better technical decisions.

Skills

Required:PythonLinux system conceptsContainers and orchestrationPerformance testing and analysisLeadership and mentoring
Last updated Aug 14, 2026. Interested? Apply on the company site.

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