PMU Verification Engineer - New College Graduate, 2027

Posted 5 Days Ago
Be an Early Applicant
Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Verify NVIDIA’s NVTHERM thermal-management IP at the Tegra SoC level. Learn the verification environment, testbench, simulation flow, and coverage signoff process; analyze coverage gaps; and develop or update test cases to ensure thermal sensing, response, and protection behavior. Collaborate with mentors and the SoC verification team on priorities and signoff requirements.
Summary Generated by Built In

NVIDIA's Tegra is one of the most complex SoCs we build, powering autonomous driving platforms where safety, reliability, and thermal robustness are critical. NVTHERM is the thermal management IP responsible for temperature sensing, thermal protection, and thermal response across the SoC, a core piece of keeping the chip safe and performant under real world operating conditions.

 

We are looking for a Design Verification NCG to join our team and take ownership of NVTHERM IP verification at the SoC level within Tegra.

 

What you will be doing:

  • Verify the NVTHERM IP at the SoC level, ensuring correct thermal sensing, thermal response, and protection behavior in the context of the full Tegra SoC.

  • Ramp up on the SoC verification environment, understand how the testbench, existing legacy test cases, and simulation flow fit together.

  • Learn the coverage flow used for signoff, including how functional and code coverage are collected and reviewed.

  • Analyze current coverage against the legacy case suite, identify coverage holes, and update or add test cases to close them.

  • Work closely with your mentor and the SoCV team to understand verification priorities and signoff requirements.

 

What we need to see:

  • Recent graduate with a masters degree in Electrical Engineering, Computer Engineering, or a related field.

  • Basic understanding of digital design and verification concepts (RTL, testbenches, simulation).

  • Familiarity with Verilog/SystemVerilog is a plus.

  • Strong analytical skills and attention to detail, comfortable digging into coverage reports and test results to find gaps.

  • Good communication skills and eagerness to learn in a fast paced, complex SoC environment.

Skills Required

  • Master’s degree in Electrical Engineering, Computer Engineering, or a related field
  • Basic understanding of digital design and verification concepts, including RTL, testbenches, and simulation
  • Strong analytical skills and attention to detail
  • Good communication skills
  • Familiarity with Verilog or SystemVerilog
  • Recent graduate

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.

  • 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.
  • 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.
  • 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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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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