Nvidia Senior Deep Learning Architect 

United States, California 

63109328

What you’ll be doing:

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

• Guide development of future generations of deep learning processors and computing platforms.

• Develop detailed performance models and simulators for computing systems accelerating DL training.

• Collaborate across the company to guide the direction of machine learning at NVIDIA; spanning teams from hardware to software and research to production.

• Drive HW/SW co-design of NVIDIA’s full deep learning platform stack, from silicon to DL frameworks.

What we'd like to see:

• PhD in CS, EE or CSEE and 8+ years; or MS (or equivalent experience) and 10+ years of relevant work experience.

• Strong background in computer architecture, with a proven track record of delivering world-class high-performance processors.

• Background in machine learning and neural networks, in particular training.

• Experience analyzing and tuning application performance on state-of-the-art hardware.

• Experience with processor and system-level performance modelling.

• Programming skills in C++ and Python.

• Familiarity with GPU computing (CUDA, OpenCL).