Quality Prototyping Engineer

Posted 8 Hours Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Quality Prototyping Engineer at NVIDIA will develop validation strategies for GPU/CPU features, automate test runs, perform data processing and visualization, and debug issues from various teams. This role involves engagement in the entire product development cycle and contributes to improving system quality.
Summary Generated by Built In

Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphics company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to address sophisticated challenges across diverse industries.

NVIDIA's Silicon Solutions Group (SSG) seeks a Quality Prototyping Engineer to join our Hardware Architecture Development (HW ArchDev) team. Joining the SSG team presents an outstanding chance to effectively engage in the entire product development cycle—from early architecture definition through bringup to product release. The HW ArchDev team is central to all silicon and system-level feature development, tradeoff analysis, system integration solutions, and system Product of Record (POR) alignment. As a Quality Prototyping Engineer, you will prototype or validate features that improve the quality of systems or clusters.

What you will be doing:

  • Develop strategies for validating GPU/CPU hardware features on systems and clusters.

  • Perform or automate test runs, data collection, processing, and visualization.

  • Guide or perform debug on marginal fails either from external or internal teams.

What we need to see:

  • Master’s degree (MS) or equivalent experience in Electrical Engineering (EE), Computer Engineering (CE), Computer Science (CS), Systems Engineering, or a related field

  • 3+ years of experience.

  • Background with cluster automation, e.g., Ansible, Kubernetes, Shell automation, etc.

  • Experience in understanding hardware/system features and crafting a test plan

Ways to stand out from the crowd:

  • Experience using clusters to validate hardware features.

  • Classification of failures in multicomponent environments.

Our team is at the forefront of innovation in silicon solutions, contributing to the development of groundbreaking technologies. We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

#LI-Hybrid

The base salary range is 128,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Cpu
Gpu
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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