Senior ASIC Methodology Engineer - LPU Division

NVIDIA

Toronto

On-site

CAD 135,000 - 185,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package
Equity

Job summary

A leading tech company in Toronto is seeking a qualified professional to contribute to ASIC development. You will enhance AI models through real-time data, identify bottlenecks, and establish metrics to improve workflow. The ideal candidate will have a degree in computer science or engineering, 5+ years of experience, and expertise in programming and AI frameworks. Attractive compensation and benefits are available, with a salary range of 135,000 to 220,000 CAD based on level and experience.

Qualifications

  • 5+ years of proven industry experience.
  • Proven track record developing ASIC design frameworks and flows.
  • First-hand experience with RTL, functional and formal verification, or physical design is a plus.

Responsibilities

  • Identify and automate cross-stage bottlenecks in the ASIC development lifecycle.
  • Leverage real-time data for AI models and analytics.
  • Establish metrics to measure efficiency and quality improvements.

Skills

High-level programming skills (Python, PERL, Make, shell scripting)
Experience with AI frameworks
Communication skills

Education

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

Tools

RTL
Functional verification
Formal verification
Physical design

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 135,000 CAD - 185,000 CAD for Level 3, and 170,000 CAD - 220,000 CAD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 23, 2026.

This posting is for an existing vacancy.

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