Senior Software Architect, AI and HPC

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. The software architecture group at NVIDIA has openings for software architects in the field of AI and high-performance networking and system software. We research, develop, and deploy solutions in networking hardware, programming environments, and system software to make current and future high-end computer systems more performant, scalable, and usable. 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.

What you’ll be doing:

Participate in defining NVIDIA's next generation heterogeneous computing platforms, which include GPUs, CPUs and smart NICs.

Define SW features to orchestrate and utilize the HW resources in the most optimal way, in order to achieve best-in-class performance.

Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

What we need to see:

B.Sc. in Computer Science, Computer Engineer or Electrical Engineer.

At least 12 years proven track record in defining SW and HW for heterogeneous computing platforms.

Knowledge/hands-on experience in network protocols - such as InfiniBand, IP, TCP and RoCE.

Experience in HW design or SW coding for CPU, GPU or NIC.

Good grasp of networking layers and SW-HW co-design.

Possess strong managerial, problem solving and critical thinking skills.

Ability to work and operate in a highly dynamic environment on multiple concurrent projects with multiple groups.

Ways to stand out of the crowd:

M.Sc / PhD in relevant fields (Math, Computer Science, Computer Engineer or Electrical Engineer).

Experience in computer systems communication, memory protocols and memory architectures such as PCIE, NVLINK, NUMA, CXL etc...