NVIDIA
System Verification Co-Design Engineer - Speed and Rel
$136K–$264K
US, CA, Santa Clara · Full-time · Posted Sep 23, 2026
- Experience
- 4+ years of experience in a related hardware engineering role.
- Education
- MS in EE, CE, Systems Engineering, or equivalent experience.
About the job
Co-designs and verifies system-level speed features, builds characterization and validation automation, and leads silicon and system debug to support product quality and on-time shipment.
What you'll do
- Co-design system-level speed features and optimize speed-reliability margins with cross-functional teams.
- Develop verification methods, bring-up flows, and automation for pre- and post-silicon characterization and validation.
- Lead complex silicon and system-level debug, correlating silicon behavior with simulation and design expectations.
What they ask for
- 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, system/platform understanding, tester-to-system correlation, and lab instrumentation.
- Scripting proficiency in Python and/or Perl; comfortable in Windows, Linux, and Android; familiarity with statistical methods and data analysis tools (JMP or equivalent); demonstrated use of AI or LLM-based tools in an engineering workflow.
Nice to have
- Background in gaming, automotive, or datacenter segments.
- Experience building or deploying AI-assisted characterization, log analysis, or debug automation in a production silicon environment; familiarity with LLM evaluation, prompt engineering, or agentic scripting pipelines.
Pay
136,000 USD - 218,500 USD (base salary, Level 3); 168,000 USD - 264,500 USD (base salary, Level 4)
Tools
Python, Perl, Windows, Linux, Android, JMP, Claude, Copilot
AI focus
Uses AI and LLM-assisted engineering workflows for scripting acceleration, log triage and analysis, pattern detection, and characterization/debug automation; requires validating outputs and assessing automation risks.
Model-written summary · the original posting is authoritative