Six Figure Work

Senior ASIC Power Engineer

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $136,000  to $264,500

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +3 more

Apply (opens in new tab)

You apply on the employer's own site. Six Figure Work does not handle applications.

  • LocationSanta Clara, CA +3 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since
All 4 locations
  • US, CA, Santa Clara
  • US, TX, Austin
  • US, NC, Durham
  • US, CA, Remote

About this job

We are now looking for a Senior ASIC Power Engineer!

NVIDIA is seeking extraordinary power engineers to design hardware accelerators and processors on our next-generation mobile, embedded and datacenter platforms. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

What you'll be doing:

  • Develop innovative HW, GPU and system designs to extend the state of the art performance and efficiency

  • You are expected to understand the design and implementation, develop power metrics and drive power reductions

  • Execute and deliver fully verified, high performance, area and power efficient RTL to achieve design targets

  • You will be working with architects, designers, verification and VLSI teams to accomplish your tasks​

What we need to see:

  • BS or MS in electrical engineering or computer science or equivalent experience

  • 5+ years of experience in processor or other related high performance designs

  • Expertise in SystemVerilog or similar HDL

  • Solid understanding of physical design and VLSI

  • Good communication skills

  • Background in computer architecture

Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. Come, join our GPU ASIC team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($136,000) is above 36% of the 2,072 Engineering (non-software) roles in California listed on this site; 20 others list the same floor. Their median floor is $146,500; the middle half runs from $125,000 to $175,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Senior ASIC Power Engineer (this listing)$136,000 - $264,500
Public Sector Program Support$136K - $276K
Senior Package Layout Engineer - Hardware$136,000 - $258,750
Senior RMA Customer Experience Manager$136,000 - $212,750
Go-to-Market Product Manager$136,000 - $258,750
Senior PR Manager, Datacenter Architecture$136,000 - $270,250
Senior Technical Program Manager - Tegra$136K - $276K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: Multiple locations (4) (Levels 3-4 combined)

136,000 USD – 218,500 USD for Level 3; and 168,000 USD – 264,500 USD for Level 4.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.