Hiring.Camp

Mixed Signal Design Validation Engineer

Nvidia

·

3 weeks ago

Location
Santa Clara, CA,US, US
Type
Full-time
Department
Engineering
Experience
2+ years
Source
Eightfold

Description

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 be responsible for the bring-up and characterization of high-speed mixed-signal circuits, in addition to performing system validation of electro-optical transceivers. The ideal candidate will take full ownership of developing and implementing tests, debugging unexpected bugs, and generating meaningful analysis from lab data of high-speed interfaces and modules.

What you'll be doing:

  • Build validation test suites for high-speed I/Os and the analog circuits
  • Conduct detailed characterization of analog, digital, and mixed-signal circuit blocks across process, voltage, and temperature variations, and correlate the data with simulations
  • Lead and drive the debugging of technically challenging issues by devising creative solutions to sophisticated problems
  • Provide feedback to analog circuit designers regarding silicon performance, design quality, and margins
  • Build and run test scripts to optimize overall system performance
  • Lead focused discussions with cross-functional teams both within and outside the company to optimize the performance of mixed-signal circuits
  • Develop tools and scripts to support electrical characterization and chip bring-up activities
  • Take ownership for training new engineers in validation practices

What we need to see:

  • A BS degree or equivalent experience with 2 years experience or higher in Electrical Engineering, Computer Engineering, or a related field. Strong collaborative and interpersonal skills are essential
  • Highly adaptable to time-sensitive, critical issues
  • Experience in silicon bring-up, debugging, and the use of lab instrumentation is required
  • Ability to work in a fast paced environment involved with multiple bring-ups of chips and systems
  • In-depth technical knowledge of fundamental analog, digital, and mixed-signal circuits
  • Ability to write scripts for validation, debugging, data analysis, and automation
  • Proficiency in Python, Git, MATLAB, and JMP

Ways to stand out from the crowd:

  • Comprehensive understanding of multi-protocol SerDes architecture
  • In-depth understanding of measurement theory and test instruments
  • Knowledge of optical transceiver performance is a plus

NVIDIA is renowned as the leader in AI computing and one of the world’s most innovative and desirable employers. MSDV team consists of individuals who demonstrate outstanding creativity and critical thinking skills, driving innovation forward. If you're passionate, creative, and eager to work on the cutting edge of technology, this is the perfect team for 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 2026.

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

PythonMATLABDeep LearningGit

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