System Level Product Engineer (RDSS Intern)
NVIDIA is hiring a System Level Product Engineer (RDSS Intern). Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include system testing, post silicon validation and yield enhancement.
- Level classifies it as an internship.
- Level lists 1,800+ other open roles at NVIDIA.
- The role was posted within the past week.
AI in this role
Develop and improve system-level testing, characterization, and yield enhancement for complex semiconductor chips.
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.
What you'll be doing:
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.
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
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!
How we rate this
System Level Product Engineer (RDSS Intern) at NVIDIA rates 20 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where system testing was part of your work. What did you do?
- Tell me about a project where post silicon validation was part of your work. What did you do?
- Tell me about a project where yield enhancement was part of your work. What did you do?
- Tell me about a project where characterization was part of your work. What did you do?
- Tell me about a project where hardware diagnostics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: System Testing, Post Silicon Validation, Yield Enhancement, Characterization, and Hardware Diagnostics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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