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Deep Learning Performance Software Engineer at NVIDIA
Shanghai, Shanghai, China -
Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Software Design, XLA, TVM, MLIR, LLVM, Deep Learning Models, Deep Learning Algorithms, Compiler Development, DSL, GPU Optimization, Performance Analysis

Industry

Computer Hardware Manufacturing

Description
We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary. What you’ll be doing: Develop compilers and DSLs for deep learning workloads Design and implement highly optimized deep learning kernels Continuously improve the compiler architecture for current and next generation chips Perform performance analysis on emerging AI workloads and integrate with AI frameworks What we need to see: Master's or Ph.D degree (or equivalent experience) in relevant discipline (CE, CS&E, CS, AI) Excellent C/C++ programming and software design skills Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms 3+ years of relevant work experience NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
Responsibilities
Develop compilers and DSLs for deep learning workloads while designing highly optimized kernels. Perform performance analysis on AI workloads and integrate them with AI frameworks.