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NVIDIA

Designs the chips and software that power AI

Senior Optical Product Test Development Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeHsinchu, Hsinchu City, TaiwanNo salary listedHybrid

About the Job

Requirements

  • A Master of Science in Electrical Engineering, Physics, or Computer Engineering, or equivalent experience.
  • A deep understanding of fundamental optical components and analog circuits.
  • Experience with radio-frequency testing at the die or module level.
  • At least eight years of experience measuring, analyzing, and debugging complex mixed-signal designs.
  • Experience with JMP.
  • Ability to code scripts for validation, debugging, data analysis, and automation.
  • Ability to respond to time-sensitive, show-stopping issues.
  • Knowledge of optical lab equipment.
  • Ability to work in a team environment.

Responsibilities

  • Develop validation test methods for new photonic designs from the Mixed-Signal Design group.
  • Interact with multifunctional groups to support chip validation and ramp to production.
  • Characterize fundamental optical, electro-optical, and radio-frequency performance of new chip designs.
  • Validate, debug, and characterize new analog, photonic, electro-optical, and mixed-signal designs.
  • Provide feedback to designers on silicon performance, design quality, and margins.
  • Verify electro-optical compliance with industry standards.
  • Train new engineers in validation practices.

Desired Qualifications

  • Optical transceiver performance testing at high data rates.
  • Experience with control loops.
  • Working knowledge of wafer probe test systems and wafer handling.

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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