We Love AI JobsNVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China
NVIDIAThis new-graduate hiring pool covers deep learning and high-performance computing work, including operator development, AI compilers, and LLM inference optimization. The selected team may work on model training, parallel computing, or performance analysis for NVIDIA systems.
Skills & Expertise
Key Responsibilities
Develop deep learning operators, compiler systems, or inference optimizations.
Build and analyze parallel computing and high-performance computing systems.
Model, profile, and optimize performance for GPU workloads.
Full Description
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