Senior ASIC Design Engineer

Sorry, this job was removed at 02:21 a.m. (CST) on Thursday, Mar 19, 2026
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Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are looking for a Sr. ASIC Design Engineer! NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have developed an outstanding team stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

What you'll be doing:

  • You will document, implement, and deliver fully verified, high performance, area and power efficient RTL to achieve the design targets and specifications.

  • Your responsibilities will include architecture and micro-architecture design, RTL design and synthesis, and logic and timing verification using pioneering CAD tools and semiconductor process technologies.

  • In addition to the design role, you will participate in the verification of the design using sophisticated verification methodologies. You are expected to help define the verification scope and support the development of verification infrastructure.

  • You will collaborate with several ASIC development teams and will need to communicate and coordinate with members of those teams, some of whom are in remote locations.

What we need to see:

  • A Bachelors or Masters Degree (or equivalent experience)

  • 5+ years of relevant / meaningful work experience

  • Proven hardware engineering background with a concentration in VLSI and Computer Architecture

  • Expertise in Verilog, System Verilog or similar HDL. Proficient programming in Perl/Python (or similar scripting languages).

  • Experience with logic synthesis and timing analysis. Additional experience working on embedded processors is a plus.

  • Exposure and firsthand work experience with design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, GDB)

  • Experience with test bench environments for unit and system level verification. Your experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies is a huge plus.

  • Good debugging and analytical skills

  • Strong interpersonal skills and ability to work with on-site and remote teams

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. We inspire our engineers to build solutions for the problems faced by our customers. Are you creative? Do you love the challenge of continuously crafting the fastest, most efficient GPUs while driving innovation across multiple fields? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 22, 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.

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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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