NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an outstanding 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. This team is responsible for early investigation of new NVIDIA compute and networking technologies, the design of next-generation GPU cluster architectures, and bringing these architectures to reality by collaborating closely with early system bringup teams. We play a key part in enabling the deployment of large scale datacenter systems with early customers, and develop reference architectures that are used throughout the industry to inform deployment of NVIDIA datacenter products. Be a key player to enable the most exciting computing hardware and software and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Collaborate with top experts in the field to invent new supercomputing architectures for machine learning and HPC. Work in a fast-paced, remote-friendly environment with teammates in many different locations around the world.
What you'll be doing:
- Lead a team developing next generation system architectures for future HPC and AI clusters using the latest NVIDIA technologies
- Build 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
- Author reference architectures which influence future supercomputing systems for AI and HPC both inside and outside NVIDIA
- Collaborate with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products
What we need to see:
- BS (Masters or PhD preferred) in Applied Science or Engineering (or equivalent experience)
- 8+ overall years experience of experience in the high-performance computing or machine learning fields, including 3+ years of technical leadership experience
- Proven ability to lead high-performing engineering teams, especially across distributed groups with diverse expertise
- Proficiency in software development and system automation with languages such as Go, Python, or Ansible
- Creative problem-solver with excellent teamwork and collaboration skills
- Ability to work as part of a large, diverse team in a remote-friendly environment
Ways to stand out from the crowd:
- Experience leading teams building HPC compute and storage systems in a research environment at large scale
- Well-developed knowledge of deep learning applications, including multi-GPU and multi-node training and inference workloads
- Expertise with high-performance datacenter networking such as InfiniBand and RoCE
- Expertise with open-source monitoring technologies such as Prometheus and Grafana
- Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.