ASIC Design Engineer, Tools and Methodology Development

Posted 3 Days Ago
Be an Early Applicant
Austin, TX, USA
Hybrid
116K-219K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and deploy internal ASIC design tools, RTL generation workflows, verification utilities, and methodologies across NVIDIA engineering teams. Maintain DevOps-style automated RTL generation operations, support reusable design blocks, and integrate workflows into IP development environments. Requires digital design and Verilog expertise, Python or Perl scripting, Unix/Linux shell scripting, and Makefiles. Experience with ASIC verification, clocks/resets, CDC flows, synthesis, and timing is advantageous.
Summary Generated by Built In

NVIDIA is looking for an ASIC Design Engineer with proven hardware design and methodology expertise to join our world-class team to help amplify human creativity and intelligence.
 

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can seek, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!
 

What you'll be doing:

  • Develop and deploy in-house tools and workflows to support engineering business units across NVIDIA.

  • Take ownership of tools that verify common design blocks used in all products at NVIDIA.

  • Act as a "DevOps" engineer for automated RTL generation by developing new features and maintaining efficient operations for existing users.

  • Build new workflows and methodologies to ensure smooth integration into various IP development environments.
     

What we need to see:

  • Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering (or equivalent experience).

  • 3+ years of proven experience preferred.

  • Solid understanding of fundamental digital design concepts with hands-on experience in Verilog.

  • Proficiency in scripting using modern Python and/or Perl.

  • Experience with Unix/Linux shell scripting and Makefiles.

  • Strong ability to collaborate with multi-functional teams and effectively communicate technical details.

Ways to stand out from the crowd:

  • Prior experience in ASIC verification.

  • Knowledge of Clocks/Resets design and verification.

  • Exposure to CDC related design/verification flows.

  • Exposure to backend flows (Synthesis, Timing, etc).

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 12, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

Skills Required

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or equivalent experience
  • 3+ years of proven experience
  • Understanding of fundamental digital design concepts
  • Hands-on experience with Verilog
  • Proficiency in modern Python and/or Perl scripting
  • Experience with Unix/Linux shell scripting and Makefiles
  • Ability to collaborate with multifunctional teams and communicate technical details effectively
  • Prior experience in ASIC verification
  • Knowledge of clocks and resets design and verification
  • Exposure to clock-domain crossing design and verification flows
  • Exposure to backend flows including synthesis and timing

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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