N

NVIDIA

Designs the chips and software that power AI

Senior Test Methodology Engineer

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

About the Job

Requirements

  • A Bachelor’s or Master’s degree in Engineering or Science is required.
  • At least 5 years of related work experience is required.
  • In-depth knowledge and hands-on experience with Advantest 93K ATE or another ATE platform are required.
  • Programming skills in C/C++ or Java are required.
  • English communication capability is required.
  • The candidate must be able to present to technical audiences and generate content for developers.

Responsibilities

  • Design, develop, and implement cost-effective methods of automated test equipment (ATE) testing as part of the Operations Engineering team developing new integrated circuit products.
  • Develop creative solutions to improve existing test methodologies.
  • Debug and develop ATE test method code.
  • Debug and develop scripting tools.
  • Debug and develop web-based tools.
  • Help resolve production or throughput issues related to test methodology.

Desired Qualifications

  • Understanding of design-for-test (DFT) insertion techniques, including scan (SCAN), automatic test pattern generation (ATPG), memory built-in self-test (MBIST), and input/output built-in self-test (IOBIST).
  • Experience in project management or team leadership, including driving collaboration and delivering results.
  • High motivation, interpersonal skills, good work ethic, and teamwork.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs