ASIC Design Engineer - New College Grad 2025

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Santa Clara, CA, USA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA is seeking outstanding ASIC Design Engineers to design and implement the world's leading GPU and SoC's. You will contribute to designing multiple products that will be used in a variety of applications from consumer graphics to self-driving cars and the growing field of artificial intelligence. System-ASIC team works closely with System Architecture team on product definitions, implements new innovative flows to improve our chip yield and to address multiple sectors, defines Reset and Boot Architecture and implements them in sophisticated GPU and Tegra chips. The team is also handling the architecture, design, and synthesis of multiple System-level modules.

What you’ll be doing:

  • Be an integral part of the System ASIC Design team to help develop and improve our RTL and SOC designs

  • Collaborate with architects, ASIC designers, and verification engineers in order to design sophisticated system-level modules such as Floorsweep, In-silicon measurement, Reset and Boot controllers.

  • You will be responsible for the RTL design, logic synthesis, and timing analysis of several modules.

  • Integrate modules into the overall SOC design and work closely with other teams in the silicon bring-up process and ensure successful SOC level integration.

  • You will also use your expertise to identify and implement improvements in the current design flow and methodologies to improve efficiency and quality.

What we need to see:

  • Completing a Bachelor's or Master's in Microelectronics, Electronic Engineering, Computer Science, or related field (or equivalent experience).

  • Proven knowledge of digital design concepts and experience in ASIC design flow including RTL design, verification, logic synthesis and timing analysis.

  • Strong coding skills in Perl, Python, C++, or other industry-standard scripting languages

  • Basic understanding of verification methodology.

  • Proven analytical and problem-solving skills.

Ways to stand out from the crowd:

  • Familiarity with ARM CPU and SoC system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)

  • Experience with reset controllers, boot, fuse controllers or UCIe protocol.

  • Hands-on experience in programming (C/C++) and scripting (Perl/Python).

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 and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 96,000 USD - 161,000 USD for Level 1, and 108,000 USD - 184,000 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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