Research Scientist, ASIC and VLSI - New College Grad 2025

Posted 8 Days Ago
Be an Early Applicant
2 Locations
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Research Scientist will develop innovative ASIC and VLSI design techniques, collaborate on prototype development, and publish research findings.
Summary Generated by Built In

We are now looking for a Research Scientist in ASIC & VLSI.

NVIDIA Research is seeking leading researchers in the areas of ASIC & VLSI design and verification to contribute to the development of future high-performance and mobile computing systems. You should have a strong track record of research excellence and systems-building experience. Ideal candidates will have a broad perspective across areas including RTL and logic design and verification, processor micro-architecture, and VLSI implementation. Specific areas of research interest include but are not limited to high-productivity VLSI design and verification methodologies, applications of Generative AI to hardware design, on-chip networks and interconnect, power management techniques, and digital VLSI circuits for clocking and synchronization. Applicants with specific expertise and research interest in any of these areas will be considered.

What you’ll be doing:

  • Research and develop creative and innovative ASIC and VLSI design techniques, machine learning accelerator approaches, and/or novel digital VLSI circuits.

  • Collaborate on the development of research prototype testchips.

  • Develop and apply machine learning and generative AI to ASIC and VLSI design tool flows.

  • Collaborate with circuits and architecture team members in research and product teams.

  • Publish and present your original research, speak at conferences and events

  • Collaborate with external researchers and a diverse set of internal product teams.

What we need to see:

  • Completing or recently completed a Ph.D. or equivalent experience in Electrical Engineering, Computer Engineering or related field (or equivalent experience).

  • 2+ years of relevant research experience with a strong research record, well-referenced publications and/or patents.

  • You should display a strong background in VLSI, circuits, IC design, computer micro-architecture fundamentals, and machine learning techniques.

  • Experience with hardware design languages (Verilog, etc…), design verification techniques, and VLSI implementation tools required.

  • Experience with C, C++, Python, and scripting languages required;

  • Strong interpersonal skills needed. Being a creative and dynamic presenter is a huge advantage.

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!

With competitive salaries and a generous benefits package, 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 and, due to unprecedented growth, our best-in-class research teams are rapidly growing.

The base salary range is 160,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Asic
C
C++
Machine Learning
Python
Verilog
Vlsi
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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