System Verification Engineer

Posted 5 Hours Ago
Be an Early Applicant
Austin, TX, USA
In-Office
108K-184K Annually
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develops verification strategies and tool flows for NVIDIA server platforms. Responsibilities include board and system-level RTL design, simulation model development, pre-silicon PCB verification, connectivity and timing checks, and building automated verification environments. The role collaborates with architecture, ASIC, FPGA, software, and system design teams to validate functionality, performance, and quality before production.
Summary Generated by Built In

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. With world-class technology enabling never-seen-before performance levels, NVIDIA’s DGX portfolio is arguably the most complicated Server platform ever developed by humans. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity.


We are now looking for a highly motivated engineer to join this dynamic and innovative platform verification team. In this role, you will apply your RTL verification knowledge to develop and implement new verification strategies. These strategies will help deliver the next generation of NVIDIA servers. Join us and play a key role in achieving outstanding functionality, performance, and quality metrics.


What you will be doing:

  • Define design processes, tool flows, and verification approaches to deliver bug-free board and system designs.
  • Board and system level RTL design.
  • Simulation model development and curation for board level digital and mixed signal components.
  • Pre-silicon verification of PCB designs including connectivity, design rule, and timing checks.
  • Collaborate with architecture, ASIC, FPGA, software, and system design teams to develop end-to-end pre gerber-out verification environments.

What We Need to See:

  • BS or MS in Electrical or Computer Engineering (or equivalent experience).
  • At least 2+ years of proven experience in RTL Simulation or PCB design.
  • Software programming skill in Python.
  • Automation script development expertise.
  • Excellent verbal, written, and presentation communications skills, organizational capabilities, and collaborative interpersonal skills.

Ways to stand out from the crowd:

  • Background in system validation.
  • Knowledge of system design flows and methods.

Our technology has no boundaries! NVIDIA is building groundbreaking, powerful compute platforms for the world to use. It’s because of our work that scientists, researchers, and engineers can advance their ideas. At its core, our visual computing technology not only enables an outstanding computing experience, it is energy efficient! We pioneered a supercharged form of computing loved by the most fast-paced computer users in the world - scientists, designers, artists, and gamers.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 20, 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.

Skills Required

  • Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, or equivalent experience
  • At least 2 years of experience in RTL simulation or PCB design
  • Software programming skills in Python
  • Expertise in automation script development
  • Excellent verbal, written, and presentation communication skills
  • Strong organizational and collaborative interpersonal skills
  • Background in system validation
  • Knowledge of system design flows and methods

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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