Nvidia Senior AI Training Performance Engineer 

China, Shanghai 

847695833

What you will be doing:

• Understand, analyze, profile, and optimize AI and deep learning training workloads on state-of-the-art hardware and software platforms.

• Understand the big picture of training performance on GPUs, prioritizing and then solving problems across many dozens of state-of-the-art neural networks.

• Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.

• Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.

• Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

• PhD (or equivalent experience) in CS, EE or CSEE and 5+ years; or MS and 8+ years of relevant work experience.

• Strong background in deep learning and neural networks, in particular training.

• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

• Proven experience analyzing and tuning application performance.

• Experience with processor and system-level performance modelling.

• Programming skills in C++, Python, and CUDA.