Senior Optical MSDV Hardware Engineer

Reposted 20 Days Ago
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Santa Clara, CA
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and validate test methods for photonic designs, analyze RF performance, and support chip validation to ensure quality and compliance.
Summary Generated by Built In

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, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

 

We’re looking for a Senior Optical Mixed Signal Design Validation Engineer to drive development of test methodologies, analysis, and debugging of NVIDIA's electro-optical transceiver modules.

 

What you'll be doing:

  • Develop validation test methods for new photonic designs from the Mixed-Signal Design group

  • Interact with multi-functional groups to support chip validation and ramp to production

  • Characterize fundamental optical, electro-optical, and RF performance of new chip designs

  • Validate, debug, and characterize new analog, photonic, electrical-optical, and mixed-signal designs

  • Provide feedback to designers on silicon performance, design quality, and margins

  • Verify electrical-optical compliance to industry standards

  • Train new engineers in validation practices

 

What we need to see:

  • Master of Science in Electrical Engineering, Physics, Computer Engineering, or equivalent experience.

  • Deep understanding of fundamental optical components and analog circuits

  • RF testing experience at die or module level

  • 8+ years of experience measuring, analyzing, and debugging complex mixed-signal designs

  • Experience with Python, Git, Matlab, or JMP

  • Ability to code scripts for validation, debug, data analysis, and automation

  • Extremely responsive to time sensitive show-stopping issues

  • Consistent, persistent, and efficient

  • Ability to work in a team environment

  • Detailed knowledge of optical lab equipment

 

Ways to stand out from the crowd:

  • Optical transceiver performance testing at high data rates

  • Experience with control loops

  • Working knowledge of wafer probe test systems and wafer handling

 

NVIDIA is widely considered to be the leader of AI computing, and 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. If you're creative and autonomous, we want to hear from you.

The base salary range is 168,000 USD - 310,500 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

Git
Jmp
Matlab
Python
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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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