About the role

Senior ASIC Methodology Engineer at NVIDIA redefining AI hardware development methodology. Pioneering novel architectures and workflows in ASIC development.

Responsibilities

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.

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.