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NVIDIA

Designs the chips and software that power AI

Manager – SMTA Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHsinchu, Hsinchu City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering or comparable experience.
  • Proven experience in SMT process characterization and validation.
  • At least 8 years of overall engineering experience, including at least 2 years in a leadership position.
  • Strong knowledge of quality management systems and practices.
  • A track record of resolving critical issues.
  • Ability to communicate effectively for reporting and team collaboration.
  • Ability to work under pressure and meet strict deadlines.

Responsibilities

  • Characterize and validate SMT processes to ensure flawless operations.
  • Manage quality control and implement strict quality management practices.
  • Head a team of SMT Engineers and guide them to attain outstanding outcomes.
  • Collaborate with cross-functional teams to resolve critical issues and report findings.
  • Support new product introductions (NPI) and ensure a seamless transition to mass production.
  • Communicate progress and challenges to Operations Management in Santa Clara, California.
  • Determine and implement process improvements to maintain world-class standards.

Desired Qualifications

  • A master's degree in Engineering or a related area, or equivalent experience.
  • Experience in a high-tech, fast-paced environment.
  • Experience handling new product introductions and mass production workflows.
  • Familiarity with NVIDIA's products and technologies.
  • Ability to lead and encourage a team to achieve ambitious goals.

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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