NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China
At a glance
Mid-level Machine Learning Engineering role at NVIDIA. China, Shanghai · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build or improve operators, compiler systems, and methods for parallel computing
- Tune large language model inference and reinforcement learning workloads for performance
- Develop deep learning training approaches and model, analyze, and optimize performance
What you bring
- You expect to finish a bachelor's, master's, or doctoral degree in 2027 in electrical engineering, computer engineering, or a related area
- You have relevant experience in computer architecture, parallel programming, high-performance computing, or another listed focus area
- You bring experience with performance modeling, profiling, optimization, or analysis
Who this fits
This is an early-career engineering opportunity for a 2027 graduate, with potential work across deep learning and high-performance computing. The role is based in China.
From the employer
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