Senior ASIC Power Engineer

NVIDIA is hiring a Senior ASIC Power Engineer in Santa Clara, United States. It pays $136k-$219k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a senior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

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.

How we rate this

Senior ASIC Power Engineer at NVIDIA rates 18 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.