NVIDIANVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China
NVIDIA is hiring a NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions deep learning, high performance computing and parallel computing among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
New college graduate role focusing on deep learning, parallel computing, and LLM inference optimization.
By submitting your resume, you’re expressing interest in one of our 2027 Deep Learning & High-Performance Computing Engineer – New College Grad roles. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our new college graduate opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.
We offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning & High-Performance Computing teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Potential NCG opportunities in this field include:
Operator Development
Parallel Computing
AI Compiler Systems
Large Language Model (LLM) Inference Optimization
Reinforcement Learning
Deep Learning
End to End Training
Performance Modelling, Analysis, Projection Optimization
What we need to see:
Expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
Experience related to the following areas could be required:
Computer Architecture experience in one or more of these focus areas: Deep Learning, Parallel Programming, High-Performance Computing Systems, GPU Computing, GPU Architecture, CPU Architecture.
Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming
Performance Modeling, Profiling, Optimizing, and/or Analysis
How we rate this
NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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 deep learning was part of your work. What did you do?
- Tell me about a project where high performance computing 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 llm was part of your work. What did you do?
- Tell me about a project where reinforcement learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Deep learning, High Performance Computing, Parallel Computing, LLM, and Reinforcement learning. 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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