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NVIDIA

System Verification Co-Design Engineer - Speed and Rel

NVIDIA
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hybrid senior full-time Santa Clara, CA

First indexed 8 Jul 2026

Description

As a System Verification Co-Design Engineer, you will work on system-level speed features, develop verification collateral and automation infrastructure to characterize and validate them, and lead debug of complex silicon issues.

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.

Requirements:

  • 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.
  • Scripting proficiency in Python and/or Perl; comfortable in Windows, Linux, and Android environments.
  • Familiarity with statistical methods and data analysis tools.
  • Demonstrated use of AI or LLM-based tools in an engineering workflow.

Benefits:

  • Competitive salaries
  • Generous benefits package
  • Equity eligibility