Senior Research Scientist, Circuits
NVIDIA is hiring a Senior Research Scientist, Circuits in Santa Clara, United States. It pays $192k-$305k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this research scientist role Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts in line with the typical research scientist posting on Level.
- Level classes it as a senior role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
We are now looking for a Senior Research Scientist for Circuits! Advanced circuit design is critically important in the post-Moore’s Law age. Without the ability to scale process to increase performance and reduce power, we must rely more and more on creative architectural and underlying circuit solutions to provide continuing advancement from generation to generation.
NVIDIA Research is seeking world-class circuit researchers to contribute to the exploration of future high-performance, low-power circuit technologies and development of prototype circuits. If you have a strong circuits background, desire to collaborate with elite researchers on critical problems, and a vision about how to advance the state-of-the-art, the team will be a great fit for you. NVIDIA has an ambitious circuit research agenda that involves taking circuit technology to the next level. This position offers an opportunity to have a real impact in a fast-moving technology-focused company.
What you’ll be doing:
Explore circuit approaches to optimizing processor computation and interconnect performance and power
Design and implement circuit approaches in prototype systems
Collaborate with external researchers and a diverse set of internal product teams across research and product roles
Transfer technology to product groups
Publish original research and speak at conferences and events
What we need to see:
PhD or equivalent experience in Electrical Engineering, Computer Science/Engineering, or related field. A strong publication, patent, and research collaboration history is a huge advantage.
3+ years of relevant post graduate research / work experience
Excellent knowledge and broad background of theory and practice of circuit design
Depth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic)
Track record of research excellence or significant product development
Excellent communication and collaboration skills
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. If you're creative, autonomous and love a challenge, we want to hear from you!
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:192,000 USD – 304,750 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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 Research Scientist, Circuits at NVIDIA rates 10 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.
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.
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