
Senior ASIC Methodology Engineer
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: Arizona • California • United States
Visit company websiteExplore more
Salary
💰 $152,000 - $287,500 per year
Job Level
Tech Stack
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