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NVIDIA

Senior ASIC Power Engineer

Posted 6 Days Ago
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In-Office or Remote
Hiring Remotely in CA, USA
136K-265K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA, USA
136K-265K Annually
Senior level
Design and optimize power-efficient ASIC, GPU, and processor hardware for mobile, embedded, and datacenter platforms. Develop power metrics, drive power reductions, and deliver verified RTL meeting performance, area, and power targets. Collaborate with architects, designers, verification engineers, and VLSI teams on high-performance designs.
The summary above was generated by AI

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.

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