NVIDIA

Senior ASIC Methodology Engineer

NVIDIA

full-time

Posted on:

Location Type: Remote

Location: ArizonaCaliforniaUnited States

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Salary

💰 $152,000 - $287,500 per year

Job Level

About the role

  • Take a comprehensive view of the ASIC development lifecycle, identifying cross-stage bottlenecks and opportunities where automation and AI can improve predictability, convergence, and turnaround time.
  • Identify, curate, and leverage real-time data to enable effective AI models and analytics, working with infrastructure teams to ensure scalable and secure data pipelines.
  • Establish quantitative metrics to measure efficiency, quality, and cycle-time improvements; use data-driven insights to guide methodology decisions and prioritize investments.
  • Serve as a technical catalyst within both the team and the wider company by sharing best practices, publishing internal guidelines, and mentoring engineers on emerging AI-enabled development techniques.
  • Track advances in AI, EDA, and hardware design research, evaluating their applicability and guiding strategic bets that align with long-term product and technology roadmaps.

Requirements

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).
  • 5+ years of proven industry experience.
  • A proven track record developing groundbreaking ASIC design frameworks and flows.
  • First-hand experience with RTL, functional verification, formal verification, or physical design would be an asset.
  • High-level programming skills including experience with Python, PERL, Make, and shell scripting.
  • Experience with AI frameworks including knowledge of agentic flow development.
  • Standout colleague with excellent verbal and written communication skills.
Benefits
  • health insurance
  • retirement plans
  • paid time off
  • equity
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ASIC designRTLfunctional verificationformal verificationphysical designPythonPERLMakeshell scriptingAI frameworks
Soft Skills
communicationmentoringcollaborationdata-driven decision makingbest practices sharing
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer EngineeringBachelor's degree in Electrical Engineering