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NVIDIA

Senior System Level Product Development Engineer

NVIDIA is hiring a Senior System Level Product Development Engineer. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this 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. Your work will touch every industry - from medical, to auto, to robotics and more.

What you'll be doing:

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

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

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

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

  • 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.

What we need to see:

  • Master's degree in Electrical Engineering

  • 5+ years of product engineering work experience or relevant experiences

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

  • Problem solving experience/ability

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

  • Skilled at collaborating with global teams.

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

Ways to stand out from the crowd:

  • Experience with system level testing.

  • Background with Perl, Python, C/C++, Windows, and Linux.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

How we rate this

Senior System Level Product Development Engineer at NVIDIA rates 12 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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