System Level Test Engineer

Posted 2 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
100K-207K Annually
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop, validate, and support manufacturing diagnostic test programs for SoC products. Collaborate with ASIC, ATE, validation, software/firmware, and production teams to diagnose complex hardware/software issues, automate processes, and drive test program and process improvements.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join our outstanding team developing diagnostic test programs for millions of chips before customer delivery. We integrate software, firmware, and settings, collaborating with multiple teams to deliver these world-class programs to partners. This is an outstanding opportunity to work on groundbreaking projects that push the boundaries of technology.
 

What You'll Be Doing:

  • Build, validate, and support the manufacturing test programs for our SOC products.

  • Collaborate with diverse groups including ASIC, ATE, systems/silicon validation, software, firmware, product engineering, and production teams to resolve test program issues.

  • Initiate and drive process improvements using existing automation frameworks and crafting new tools to ensure flawless execution.

What We Need to See:

  • BS or MS degree in CS/CE/EE or equivalent experience.

  • 2+ years or proven experience in a related field.

  • Consistent track record to quickly narrow down and tackle issues in complex stacks of hardware and software.

  • Strong understanding of Linux OS, including some low-level software drivers and kernel knowledge.

  • Excellent communication and organization skills, with a logical approach to problem-solving, time management, and task prioritization.

  • Proactive approach with the ability to drive projects with minimal supervision and work effectively across multiple teams.

Ways to Stand Out from the Crowd:

  • Strong scripting skills, preferably in Bash shell and Python

  • A desire to automate all processes!

  • Knowledge and experience in the silicon manufacturing and test process,

  • Familiarity with embedded platforms and system software.

  • Background in ASIC Debug and board issues related to logic design & signal integrity.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

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 2, and 132,000 USD - 207,000 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 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

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
  • 2+ years of proven experience in a related field
  • Demonstrated ability to quickly diagnose and tackle issues in complex hardware and software stacks
  • Strong understanding of Linux OS, including low-level software drivers and kernel knowledge
  • Excellent communication, organization, problem-solving, time management, and task prioritization skills
  • Proactive ability to drive projects with minimal supervision and work across multiple teams
  • Strong scripting skills (Bash shell and Python)
  • Desire and experience to automate processes
  • Knowledge and experience in silicon manufacturing and test process
  • Familiarity with embedded platforms and system software
  • Background in ASIC debug and board issues related to logic design and signal integrity

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.

NVIDIA Insights

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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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