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NVIDIA

Designs the chips and software that power AI

Product Engineer - Server

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeHsinchu, Hsinchu City, TaiwanNo salary listed

About the Job

Requirements

  • A bachelor's degree in an engineering discipline, such as Electrical, Industrial, or Mechanical Engineering, or in Business Administration with technology-industry work experience.
  • At least 5 years of manufacturing management experience with x86 PC or server products.
  • Strong communication skills in English and Mandarin.
  • Knowledge of yield rate and Pareto analysis.
  • Ability to work effectively across functional teams.
  • Good communication and organizational skills, with a logical approach to problem-solving.
  • Good time management and task prioritization.
  • Ability to proactively drive projects with minimal supervision.

Responsibilities

  • Identify factory key performance indicators and metrics for periodic review.
  • Work with original design manufacturer and contract manufacturer engineers on continuous process improvement.
  • Manage manufacturing and quality issues on the production line.
  • Forecast equipment, tooling, and production capacity.
  • Escalate critical quality issues to engineering teams and management.
  • Assist with, develop, and provide feedback on server design and design for excellence.
  • Collaborate with server engineering and product engineering teams.
  • Design and operationalize manufacturing plans for GPU server products.
  • Work with overseas manufacturing teams to increase yields, test coverage, and capacity, and reduce production costs.
  • Forecast equipment and capacity and anticipate potential trouble spots.
  • Support building and testing NVIDIA server products, from GPUs through full system testing.

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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