Manager, System Test Engineering

Reposted 16 Days Ago
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2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The System Test Engineering Manager leads the development of manufacturing test solutions, manages a team of engineers, and enhances production efficiency through new methodologies and automation.
Summary Generated by Built In

We are looking to hire a System Test Engineering Manager who will work in test solutions group at NVIDIA developing manufacturing test solutions for 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 to datacenter products

  • 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 and NPI bringup

  • Guide teams in resolving technical problems.

What we need to see:

  • 6+ years of experience with post silicon validation experience in Board or System products.

  • 2+ 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, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required

  • 6+ years of experience with post silicon validation experience in Board or System products
  • 2+ 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
  • Excellent communication and people skills

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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