Senior ASIC Methodology Engineer - LPU Division

NVIDIA; Oregon (WI); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

A leading technology company is seeking an experienced professional to redefine AI hardware development methodologies. You will work with an ASIC development team to innovate automation techniques, improve efficiency, and mentor engineers. Candidates should have a Bachelor’s or Master’s degree in relevant fields with at least 5 years of experience in ASIC design frameworks. The role offers a competitive salary based on location and experience, along with equity and benefits.

Qualifications

• 5+ years of proven industry experience.
• Track record developing ASIC design frameworks.
• Experience with RTL, functional verification, or physical design.

Responsibilities

• Identify bottlenecks in the ASIC development lifecycle.
• Leverage data to enable effective AI models.
• Establish metrics to measure efficiency and quality.

Skills

High-level programming skills

Experience with AI frameworks

Excellent 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.