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NVIDIA

Designs the chips and software that power AI

Mixed Signal Design Validation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent experience and at least 8 years of experience in Electrical Engineering, Computer Engineering, or a related field.
  • Experience in silicon bring-up, debugging, and using laboratory instrumentation.
  • Ability to work in a fast-paced environment involving multiple chip and system bring-ups.
  • 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.
  • Strong collaborative and interpersonal skills.
  • Ability to adapt to time-sensitive, critical issues.

Responsibilities

  • Build validation test suites for high-speed I/Os and 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 debugging of technically challenging issues by devising 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 inside and outside the company to optimize mixed-signal circuit performance.
  • Develop tools and scripts to support electrical characterization and chip bring-up activities.
  • Take ownership of training new engineers in validation practices.

Desired Qualifications

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

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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