Senior ASIC Methodology Engineer - LPU Division

NVIDIA; North Carolina; On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

A leading AI hardware company is seeking an experienced ASIC Development Engineer to redefine how AI hardware is built. You will work on innovative automation techniques, improve the ASIC development lifecycle, and mentor engineers on AI-enabled development methods. Candidates should have at least 5 years of experience, a relevant degree, and high-level programming skills. The role offers a competitive salary range between $152,000 to $287,500 based on level and experience, alongside equity and benefits.

Qualifications

• 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.

Responsibilities

• Take a comprehensive view of the ASIC development lifecycle to identify automation opportunities.
• Establish quantitative metrics to measure efficiency and quality improvements.
• Mentor engineers on emerging AI-enabled development techniques.

Skills

High-level programming skills

Experience with AI frameworks

Excellent verbal and written communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering

Tools

Python

PERL

Make

Shell scripting

Job description

This role exists to redefine how AI hardware is built by inventing the next wave of hardware development methodology. You will pioneer AI‑driven and sophisticated automation techniques that transform how sophisticated ASICs are conceived, explored, and brought to closure. Working shoulder‑to‑shoulder with an outstanding ASIC development team, you will invent novel architectures and end‑to‑end workflows that transcend traditional infrastructure, unlocking new levels of capability across logic design, verification, and physical design.

What You’ll Be Doing

• 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.

What We Need To See

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.