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System Verification Co-Design Engineer - Speed and Rel

NVIDIA· Engineer, ASIC
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Santa Clara, CA$136k - $218.5kfull-timePosted 3mo ago

About the role

System Verification Co-Design Engineer focusing on system-level speed features, verification infrastructure, and debug of silicon issues to enable on-time product shipment across Gaming, Datacenter, Automotive, and Embedded markets.

Responsibilities

  • Collaborate cross-functionally with system architects, hardware, firmware/software, process/reliability, and operations teams to co-design system-level speed features and deliver industry-defining products.
  • Understand system level behavior and speed reliability margins, bounding box constraints and identify solutions that optimize margins.
  • Translate hardware features and architectural requirements into verification techniques that achieve full coverage across testing flows.
  • Perform closed loop validation by correlating silicon behavior against timing simulation and design expectations; provide actionable feedback to improve future designs.
  • Define, prototype, and refine pre- and post-silicon bring-up flows to ensure product quality, performance, and schedule efficiency.
  • Design and implement automation tools for system speed modeling; apply AI and LLM-assisted workflows to compress characterization and debug cycles.
  • Architect and influence testability features critical to performance, power, and reliability in partnership with design, DFx, and ATE teams.
  • Lead debug of complex silicon and system-level issues, including show-stopper defects, to enable on-time product shipment.

Qualifications

  • MS in EE, CE, Systems Engineering, or equivalent experience.
  • 4+ years of experience in a related hardware engineering role.
  • Hands-on experience with silicon bring-up, frequency and power characterization, PPA analysis in pre- and post-silicon phases, System/Platform level understanding, tester-to-system correlation, and lab instrumentation (oscilloscopes, multimeters, DAQs).
  • Scripting proficiency in Python and/or Perl; comfortable in Windows, Linux, and Android environments.
  • Familiarity with statistical methods and data analysis tools (JMP or equivalent).
  • Demonstrated use of AI or LLM-based tools in an engineering workflow—scripting acceleration, log triage, data analysis—with clear judgment about output validation and risk.

Skills

Required:System verification and bring-upAutomation and scriptingAI/LLM in engineering workflows

Benefits

  • equity
  • benefits
Last updated Sep 25, 2026. Interested? Apply on the company site.

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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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