Level

NVIDIA

Low Power ASIC Engineer - New College Grad 2027

NVIDIA is hiring a Low Power ASIC Engineer - New College Grad 2027 in Santa Clara, United States. It pays $100k-$167k a year and Level rates it ; you can apply on Level.

AI in this role

Design and verify low-power architectures and power management solutions for next-generation AI-powered GPUs and SOCs.

verilogsystemverilogpythoncsynopsys-vcs
nlp

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world!
 

We are now looking for an Low Power Design/Verification ASIC Engineer - New College Grad 2026. We continue to rapidly grow the research and development of energy-efficient GPU and SOC architectures. We are continually innovating in creative and unrivaled ways to improve our ability to deliver exceptional perf/watt solutions in a wide range of sectors. Come join NVIDIAs Low Power DV team to develop state of the art GPUs to power AI, Automotive, GeForce, and Mobile products.


What you'll be doing:

  • Working very closely with Low Power Architecture, Design, and Software teams to understand next generation features.
  • Responsible for architecting/developing testbench, infrastructure, and testplans to verify various power management solutions for NVIDIA products.
  • You will have the opportunity bring creative ideas that help improve power-aware DV methodologies, as well as influence EDA vendors to improve our simulation and debug efficiencies.

What we need to see:

  • Recently completed a BS, MS or PhD in Electrical or Computer Engineering, or equivalent experience.
  • You have an understanding of low power design techniques such as multi VT, Clock gating, Power gating, Block Activity Power, and Dynamic Voltage-Frequency Scaling (DVFS) etc.
  • Good understanding of processor architecture (GPU is a plus), and related power management design/DV techniques.
  • Must be experienced with Incisive Low-Power or Synopsys VCS NLP
  • Strong debug skills and experience with Verdi is needed
  • Must be fluent in Verilog, SystemVerilog, and understanding of UVM.

Ways to stand out from the crowd:

  • Prior knowledge of Low Power Architecture, Low Power CV, and deep learning
  • Good understanding of power intent in UPF format is a plus
  • A strong background in Low Power architectures or verification is a plus.
  • Scripting abilities in Python or PERL is a plus and knowledge of C or C++ is a plus
  • Experience writing or maintaining the script or Makefile that builds the simulation program is a plus

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. Are you creative and autonomous? Do you love a challenge? If so, 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 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 17, 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

Low Power ASIC Engineer - New College Grad 2027 at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

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

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPVerilogSystemverilogPythonCSynopsys Vcs

Questions you could be asked

  1. What NLP problem have you worked on, and how did you measure whether it actually worked?
  2. Walk me through how you've used Verilog in your day-to-day work.
  3. What are the limits of Systemverilog that you've run into, and how did you work around them?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: NLP, Verilog, Systemverilog, Python, and C. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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