NVIDIA Corporation

Senior ASIC Methodology Engineer - LPU Division

NVIDIA Corporation$135K — $220K *
US-AnywhereRemote in Canada
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience)
  • 5+ years of proven industry experience
  • Proven track record developing ASIC design frameworks
  • Experience with RTL, functional verification, formal verification, or physical design is a plus
  • High-level programming skills including Python, PERL, Make, and shell scripting
  • Experience with AI frameworks and agentic flow development
  • Strong communication skills, both verbal and written

Responsibilities

  • Analyze the ASIC development lifecycle for automation opportunities
  • Leverage real-time data for effective AI models and analytics
  • Establish metrics to gauge efficiency, quality, and cycle-time improvements
  • Act as a technical catalyst by sharing best practices and mentoring engineers
  • Track advances in AI, EDA, and hardware design for strategic guidance

Benefits

  • Comprehensive benefits package
  • Equity eligibility
  • Access to a supportive and diverse work environment
  • Opportunities for continuous professional development
  • Participation in cutting-edge projects in AI and hardware technology
Full 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.

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. Join us as we drive towards the next generation of artificial intelligence technology!

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 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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