NVIDIA 2027 New College Graduate: Deep Learning and High-Performance Computing Engineering - China
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- Performance modeling
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
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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