Senior Mixed Design Validation Systems - Electrical/Optical Engineer

Reposted 5 Days Ago
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Santa Clara, CA
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Mixed Signal Design Validation Engineer, you'll develop validation tests, lead system validation for high-speed circuits, and debug complex issues while collaborating across teams. You'll require deep knowledge of mixed-signal designs and lab instrumentation.
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.

As a member of our Mixed Signal Design Validation team, you will lead bring-up activities and characterization of high-speed mixed signal circuits and will lead system validation with electro-optical transceivers. The ideal candidate will take full ownership of developing and driving tests, debugging unexpected bugs, and generating meaningful analysis from lab data of high-speed interfaces and modules.

What you'll be doing:

  • Develop validation test suites for high-speed IOs including Ethernet and InfiniBand

  • Perform deep characterization of analog, digital and mixed signal circuit blocks across process, voltage, and temperature and correlate data with simulations

  • Lead and execute debug of technically challenging bugs by finding creative solutions to complex problems

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

  • Develop and execute test scripts to optimize end-to-end system performance of electro-optical transceivers with NVIDIA data center platforms

  • Maintain focused discussions with multi-operational groups within and outside the company to optimize transceiver performance with NVIDIA platforms

  • Develop tools and/or scripts to support optical and electrical characterization and bring up activities

  • Take full ownership to train new engineers in validation practices

What we need to see:

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

  • Excellent collaborative and interpersonal skills are a hard requirement

  • Extremely responsive to time sensitive show-stopping issues

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

  • Experienced in silicon bring-up, debugging and use of lab instrumentation is required

  • Ability to work in a high paced environment involved with multiple bring-ups of chips, systems and transceivers

  • Deep technical understanding of fundamental analog, digital and mixed signal circuits

  • Experience with Python, Git, Matlab, and JMP

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

Ways to stand out from the crowd:

  • Optical transceiver performance testing at high data rates

  • Expert in data automation and analysis

  • Strong hands-on lab experience in Serdes PHY characterization

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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
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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