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 2025. 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:
Pursuing or recently completed a BS, MS or PhD in Electrical or Computer Engineering, or equivalent experience.
A strong background in Low Power architectures or verification is a plus.
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
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.
The base salary range is 96,000 USD - 184,000 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 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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.”






