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Senior Infrastructure Automation Engineer - Silicon Co-Design Group

NVIDIA· Engineer, Sys SW
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Shanghaifull-timePosted 2mo ago

About the role

Senior Infrastructure Automation Engineer to innovate, develop, and integrate AI-driven automation infrastructure for silicon co-design toolchains, driving productivity, scalability, and reliability from concept to deployment.

Responsibilities

  • Define clear vision and roadmap for productivity efficiency improvement solutions in alignment with business needs and drive execution from design through delivery.
  • Lead cross-function engineering teams on project deliverables commitment to streamline the system design and verification process and workflow. You own the pipelines between tools.
  • Build production-grade AI-assisted automation infrastructure for Silicon Co-Design use cases, including reliable orchestration, observability, evaluation, guardrails, and human-in-the-loop controls where needed.
  • Drive Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams to ensure reliability, scalability, and performance, fostering a culture of technical excellence, collaboration, and ownership.
  • Drive hard debugging and root-cause analysis across infrastructure, automation, data, and HW/SW boundary issues; separate competing hypotheses, define measurement plans, and converge teams on the right fix.

Qualifications

  • MS or PHD in EE or equivalent experience.
  • Strong software engineering background with 8+ years significant experience designing large-scale infrastructure, framework architecture, or developer platforms.
  • Strong proficiency in Python and at least one static language (C, C++, C#, Java, Scala, etc).
  • Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets.
  • Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
  • Excellent problem-solving, communication, and collaboration skills.
  • Ability to break down ambiguous technical problems, explain failure modes and edge cases, and make strong tradeoff decisions under schedule, coverage, quality, and performance constraints.
  • Track record of independently driving complex, cross-functional work to closure with clear ownership and strong collaboration.

Skills

Required:PythonStatic programming languageAI/ML and data analysisEE fundamentalsproblem solving and collaboration

Benefits

  • Competitive salaries
  • Comprehensive benefits package
  • Opportunities to explore new ways to succeed
Last updated Aug 14, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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