NVIDIAComputer Architecture Intern - 2027
NVIDIA is hiring a Computer Architecture Intern - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions C, computer vision and computer architecture among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 1,800+ other open roles on Level.
- Posted within the past two weeks.
AI in this role
Enhance GPU architecture and develop performance simulation tools as a computer architecture intern.
We are now looking for Computer Architecture Interns in our group!
The NVIDIA Architecture group is looking for world class architects and computer science interns to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful.
What you'll be doing:
Enhance GPU architecture to extend the state of the art in performance, efficiency, programmability and reliability
Analyze, tune and prototype key applications for new GPU architectures
Build model to predict performance, power and reliability on future architecture
Design and develop tools to analyze, simulate, validate, and verify application performance and energy consumption
Collaborate across the company to guide the direction of GPU computing, working with software, research and product team
What we need to see:
MS Degree in relevant discipline (CS, EE, Math). PhD helpful
Expert programming skills in C or C++
Strong background in computer architecture, parallel processing, signal processing and/or high performance computing
Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results
Ways to stand out from the crowd:
Optional/Plus -- Background in computer vision, machine learning, or any HPC domain
How we rate this
Computer Architecture Intern - 2027 at NVIDIA rates 10 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
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where computer architecture was part of your work. What did you do?
- Tell me about a project where gpu was part of your work. What did you do?
- Tell me about a project where parallel computing was part of your work. What did you do?
- Tell me about a project where performance modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, Computer Architecture, GPU, Parallel Computing, and Performance Modeling. 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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