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NVIDIA

Designs the chips and software that power AI

Senior Product Test Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Optical Engineering, Electrical Engineering, Applied Physics, or a related field.
  • At least 5 years of experience in relevant fields, including mass production, wafer or die-stack sort, final test, and data processing and analysis.
  • Experience with high-speed optical and electrical test and measurement equipment, control, data acquisition, and test automation.
  • Knowledge and experience with integrated circuit production flow, especially test and product engineering.
  • Hands-on hardware debugging experience.
  • Excellent communication and presentation skills in English.

Responsibilities

  • Ensure manufacturing readiness for co-packaged optics products at NVIDIA manufacturing partners.
  • Collaborate with research and development, product engineering, and Operations to ensure robust manufacturing capabilities and smooth mass production of co-packaged optics products.
  • Monitor yield analysis and drive continuous improvement initiatives for new product introduction production lines.
  • Maintain product quality by improving test stability, coverage, design, and manufacturing processes.
  • Provide onsite engineering support, including technical ownership and support for product or test issues, test infrastructure, and test setups.

Desired Qualifications

  • Previous proven experience with silicon-photonics-based products and hardware testing at wafer level and/or die-stack level, and high professionalism in an integrated circuit mass production environment.
  • Know-how of wafer sort and probe cards, load boards, automated test equipment setup, first-pass yield, yield analysis, and test and process cycle-time reduction.
  • Experience with test design and optical laboratory equipment.
  • Experience working with outsourced semiconductor assembly and test providers in a volume manufacturing environment.

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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