Analyse the performances of novel network features and their impact on running AI workloads on the next large-scale, high-performance computing (HPC) clusters.
Develop network behaviour models for simulations and performance analysis and prioritize future networking features development.
Generate insights that focus out new generations of products to remain state of the art for AI.
Collaborate with cross-functional teams, including deep learning, simulation, architecture, and research.
Become an expert in AI networking on high-performance computing.

B.Sc., M.Sc., or Ph.D. degree in Computer Science, Computer Engineer, or Electrical Engineer.
5+ years of system engineering, system architecture or performance research experience.
Deep understanding of complex system behaviour.
Possess strong problem solving and critical thinking skills.
Ability to work and operate in a highly dynamic environment, be a team player and collaborate with multiple groups in the organization.
Good knowledge in Python.

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast.
We are committed to fostering a diverse work environment and proud to be an equal opportunity employer.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Senior Networking Performance Architect

Key skills