We are looking to hire a System Test Engineering Manager who will work in test solutions group at NVIDIA developing manufacturing test solutions for Embedded and Automotive System products. Through your leadership, HW and SW expertise you will guide engineers to drive towards solutions that translate to processes and methodologies that have long lasting impact. As a System Test Engineering Manager you will explore the challenging areas of test, test automation and delivering high quality products to customers.
What you'll be doing:
Refine manufacturing test solutions for System products translating them to methodologies and processes applicable across Automotive, and Embedded product segments.
Investigate and introduce new manufacturing test technology and methodology to enhance production efficiency.
Improve or develop new test strategies for products and test infrastructure including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
Build automated diag generation and validation infrastructure.
Lead and advise a team of engineers to handle a product line.
Guide teams in resolving technical problems.
What we need to see:
10+ overall years of experience with post silicon validation experience in Board or System products. Experience with Embedded and Automotive systems
4+ years of management experience or leading technical teams and projects
BS Degree in Electrical or Computer Engineering, or equivalent experience
Familiarity with manufacturing, chip to system.
Python programming and bash scripting experience.
Excellent communication and people skills
With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and system testing engineering leader 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 184,000 USD - 287,500 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
- 10+ years of overall experience with post silicon validation
- 4+ years of management experience
- BS Degree in Electrical or Computer Engineering
- Familiarity with manufacturing, chip to system
- Python programming and bash scripting experience
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.”
