System Level Product Engineer (RDSS Intern)

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role.

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. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.

Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our System Level Product Engineering team at NVIDIA works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation on some of the industry's most complex semiconductor chips. If you're creative and autonomous, we want to hear from you! At NVIDIA, you will have the opportunity to shape some of the most incredible products on the market today from products like DGX-1, P100, the Shield to Tesla for Data Centers. Your work will touch every industry - from medical, to auto, to robotics and more.

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  As a member of our system level product engineering group, you will be responsible to develop and improve all aspects of testing NVIDIA's state of the art GPU products.

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  Your duties include characterization, yield enhancement, spec validation, customer failure improvement, and addressing the production issue .

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  Expect to interface with other engineering groups to resolve silicon issues.

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  Initiate and drive process improvements and preventative actions, possibly through root cause analysis.

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  It is imperative that this individual always looks to improve work, products, functions and methodologies through an on-going analysis while communicating and sharing new information and methods with cross-functional team members to achieve the company goals.

• Master's degree in Electrical Engineering

• Be self-motivated with strong technical, interpersonal, written/oral communication skills

• Have problem solving experience/ability

• Be able to quickly become a strong contributor both as an individual and as a member of highly productive team

• Having Python or any other scripting experience is a plus.

• Knowledgeable with PC architecture, AGP/PCIe busses and SDRAM/DDR is a plus

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. You can come do your life’s work here! Join us!