NVIDIA

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 Engineering inter, you play a key role in sustain and optimize GPU products for better yield, supply and quality on ATE (automatic test equipment) platform
• You will be analyze product line dppm & field dppm (defect parts per million) & customer returns Lead detailed data analysis methods to correlate customer failures with internal production data to help understand root cause, risk, and exposure.
• Working with multi-functional efforts with design, foundry, quality, test to root-cause problems and implement improvements at ATE level

What We Need To See:

• Master students in Electrical Engineering/Computer Engineering, Computer Science, or related discipline.
• Strength presenting & communicate to technical audiences and methodical problem-solving with critical thinking, solution focused and attention to detail.
• We like people who are highly motivated with strong sense of ownership, have excellent interpersonal skills, and high sense of team-work with intellectual honesty

Ways To Stand Out From The Crowd:

• Experiences using C++ & python in Linux environment (user and/or kernel modes)
• Experience withe data tool with JMP/Excel or R related data analytic tools.
• Passionate about experimental work and data evaluation, hunger to get to the bottom of understanding where models fall short in the real world
• Demonstrated ability to work in a cross-functional team environment