We are looking for a creative and independent Product Engineer in Hsinchu, Taiwan. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

What you’ll be doing:

• As part of Operations Engineering team that plays a key role in developing new Tegra/Automotive products, you will architect, design, and implement efficient manufacturing test processes.

• Identify and implement the test processes to improve manufacturing efficiency for our latest GPU architectures, built in leading-edge process technology.

• Analyze product yield limiters and drive resolution of failures on Automatic Test Equipment (ATE), test to root-cause problems and implement improvements.

• Define product test requirements and drive NPI bring up, validation, and characterization for smooth production ramp at worldwide manufacturing sites.

• Influence and optimize the accurate placement of test coverage across our test and supply chain to reduce cost and production waste.

  What we need to see:

• Master's degree in Electrical Engineering and 3 + years of experience or BS with over 5 + years working experience (or equivalent experience)

• Strength presenting to technical audiences and generating the content for developers, c ritical thinking, solution focused and attention to detail

• Experience with ASIC mixed-signal design, characterization and qualification.

• Knowledgeable in the area of DFT, device physics

• We like people who are highly motivated, have excellent interpersonal skills, good work ethics and a high sense of team-work

  Ways to stand out from the crowd:

• Experience with DRAM testing and familiarity with 2.5D assembly

• Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST

• Passionate about experimental work and data evaluation, hunger to get to the bottom of understanding where models fall short in the real world.

• We appreciate additional programming skills in Python or other scripting language.

• Hands-on experience with ATE testers for Silicon bring-up and debug, as well as utilizing Failure Diagnosis/Isolation tools to root cause fix Silicon manufacturing defect.

  NVIDIA is a Learning Machine

  NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

  Learn more about NVIDIA .