We are seeking an experienced technical leader to help develop the next generation of NVIDIA AI supercomputing systems. This leader will play a crucial role in the early development of AI computing systems at scale, working closely with early system bringup teams to bring next-generation GPU cluster architectures to reality. The successful candidate will have a strong background in high-performance computing and machine learning, with experience leading high-performing engineering teams.
Key responsibilities will include:
- Leading a team developing next generation system architectures for future HPC and AI clusters using the latest NVIDIA technologies
- Building full-stack systems crafted for high-performance machine learning applications, from the data center and physical architecture, through the network topology and system software stack
- Authoring reference architectures which influence future supercomputing systems for AI and HPC both inside and outside NVIDIA
The ideal candidate will have a BS (Masters or PhD preferred) in Applied Science or Engineering, with 8+ years of experience in the high-performance computing or machine learning fields, including 3+ years of technical leadership experience. They will be proficient in software development and system automation with languages such as Go, Python, or Ansible, and have excellent teamwork and collaboration skills.
As a member of the NVIDIA team, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work. You will have the opportunity to work on cutting-edge projects, collaborate with top experts in the field, and contribute to the latest breakthroughs in artificial intelligence and GPU computing.
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