Deep Learning Performance Software Engineer
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.
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
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!
- Where is this Deep Learning Performance Software Engineer role based?
- The role is based in China, Beijing.
- What experience does NVIDIA expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- How was this posting sourced?
- This role was pulled directly from NVIDIA's Workday careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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