We are looking to hire an SLT (System Level Test) Engineering Manager who will work in Test Solutions Group at NVIDIA developing manufacturing test solutions for system level 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 Systems and Boards Test Engineering Manager, you will explore the relevant areas of test, test automation and delivering high quality products to customers.
NVIDIA is the leader in groundbreaking developments in Artificial Intelligence, High-Performance Computing 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 new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence. Make the choice to join our growing team today!
What you will be doing:
Drive custom SLT development to optimize system performance, power efficiency and test coverage.
Develop and integrate test flows, scripts and automation to ensure robust SLT coverage.
Define SLT manufacturing solutions translating them to methodologies and processes applicable across GPU and Data Center product segments.
Develop test strategies for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
Support the development of test content and solutions in Python.
Collaborate with internal and external partners to debug SLT issues, including HW Design, Quality, Software Development
Investigate and introduce new manufacturing test technology and methodology to improve production efficiency.
Lead and advise a team of engineers to coordinate a product line.
Guide teams in resolving technical problems.
What we need to see:
7+ overall years of demonstrated ability with post silicon validation experience in System or Board related products.
3+ years of management experience or leading technical teams and projects.
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or a related field (or equivalent experience).
Experience with designing and implementing test plans for hardware products, including defining test methodologies, developing test scripts, and creating test fixtures.
Experience working with manufacturing test programs at the boards or systems level.
Experience with Python programming and bash scripting.
Excellent leadership, communication, and collaboration skills, with the ability to lead and mentor a team of engineers.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine passion for technology, we want to hear from you.
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 for Level 3, and 216,000 USD - 345,000 USD for Level 4.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 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
- 7+ years post-silicon validation experience in system or board related products.
- 3+ years of management experience or leading technical teams and projects.
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
- Experience designing and implementing test plans for hardware products, including defining test methodologies and creating test fixtures.
- Experience working with manufacturing test programs at the boards or systems level.
- Experience with Python programming and bash scripting.
- Experience specifying, designing and qualifying test fixtures, test equipment, and diagnostic software.
- Excellent leadership, communication, and collaboration skills with ability to lead and mentor engineers.
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.”
