NVIDIA

2 weeks ago

System Verification Co-Design Engineer - Speed and Rel

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 29 minutes agoStatus: Live

Job Summary

Develop and verify system-level speed features through pre- and post-silicon bring-up, correlating silicon behavior with timing simulations and design expectations. Partner with architects and hardware/firmware/software, process/reliability, and operations teams to translate architectural requirements into verification coverage, close the loop with actionable debug feedback, and improve margin optimization. Build automation tools and apply AI/LLM-assisted workflows to accelerate characterization and debug cycles.

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Seniority: Mid level

Key Responsibilities

•Collaborate cross-functionally to co-design system-level speed features and help deliver industry-defining products.
•Translate hardware 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, providing feedback to improve future designs.
•Define, prototype, and refine pre- and post-silicon bring-up flows to ensure quality, performance, and schedule efficiency.
•Design and implement automation tools for system speed modeling, using AI/LLM-assisted workflows to compress characterization and debug cycles.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually

Equity and Bonus:Equity

Key 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, 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).

Experience:4+ yearsSilicon bring-upHardware engineeringSystem verification

Education:Master's in EE, CE, Systems Engineering

Skills:Cross-functional collaborationDebuggingData-driven problem solvingJudgment on automation risk

Tech Stack:PythonPerlWindowsLinuxAndroidAILLMClaudeCopilotChatGPTJMPOscilloscopesMultimetersDAQsTiming simulationScripting accelerationLog analysisPattern detection

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 weeks ago

System Verification Co-Design Engineer - Speed and Rel

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 29 minutes agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Hybrid

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Seniority: Mid level

Key Responsibilities

•Collaborate cross-functionally to co-design system-level speed features and help deliver industry-defining products.
•Translate hardware 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, providing feedback to improve future designs.
•Define, prototype, and refine pre- and post-silicon bring-up flows to ensure quality, performance, and schedule efficiency.
•Design and implement automation tools for system speed modeling, using AI/LLM-assisted workflows to compress characterization and debug cycles.

Pay and Benefits

Salary: USD 136,000 - 264,500 annually

Equity and Bonus:Equity

Key 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, 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).

Experience:4+ yearsSilicon bring-upHardware engineeringSystem verification

Education:Master's in EE, CE, Systems Engineering

Skills:Cross-functional collaborationDebuggingData-driven problem solvingJudgment on automation risk

Tech Stack:PythonPerlWindowsLinuxAndroidAILLMClaudeCopilotChatGPTJMPOscilloscopesMultimetersDAQsTiming simulationScripting accelerationLog analysisPattern detection

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor