We are looking to hire a Senior System Test Engineer with a strong background in embedded and automotive systems who will work in the test solutions group at NVIDIA developing manufacturing test solutions for Embedded and Automotive products. Through HW and SW expertise, you will explore challenging areas of test coverage and test automation to find the right solutions.
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join our growing team today!
What you will be doing:
Design, develop, and implement manufacturing test solutions for embedded and automotive system products.
Investigate and introduce new manufacturing test technology and methodology to improve production efficiency.
Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
Review and provide feedback for DFT in the early design stages.
Debug complex hardware and software issues during build phases
Contribute to automated diagnostic generation and validation infrastructure.
Travel to CM sites, both local and overseas to provide on-site support for builds and factory operations as necessary.
What we need to see:
5+ years of experience with post-silicon validation experience in Board or System level products
BS Degree or equivalent experience.
Experience working with manufacturing test programs at platform or system level.
Proficiency in Python programming and experience with Linux operating systems. Familiarity with version control systems, particularly GitLab
Understanding of hardware and system-level concepts in embedded and automotive environments. Background working with embedded and automotive systems.
Familiarity with RF principles and testing methodologies. Knowledge of wireless communication standards (e.g., 5G, Wi-Fi, Bluetooth) and Hands-on experience with RF testers and analyzers is a plus.
Excellent problem-solving skills, attention to detail, and effective communication skills.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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
- 5+ years of experience with post-silicon validation
- BS Degree or equivalent experience
- Experience working with manufacturing test programs
- Proficiency in Python programming
- Experience with Linux operating systems
- Familiarity with version control systems, particularly GitLab
- Understanding of hardware and system-level concepts in embedded environments
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.
NVIDIA Insights
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.”








