Senior AI Network System Architect
Job Description
NVIDIA, the pioneer in accelerated computing, is seeking a Senior AI Network System Architect to help shape the future of AI infrastructure. This role sits at the intersection of high-performance computing and artificial intelligence, focusing on architecting the networking systems that power the world's most advanced AI clusters.
The position offers a unique opportunity to work on cutting-edge technology that directly impacts the AI revolution. You'll be responsible for developing and analyzing complex system architectures, creating sophisticated performance models, and optimizing the entire AI stack from communication libraries to network fabric.
As a senior architect, you'll collaborate with various teams across NVIDIA, including logic design, system software, firmware, and deep learning research teams. Your work will directly influence the direction of future products and help solve some of the most challenging problems in distributed computing and AI infrastructure.
The ideal candidate brings a strong academic background (M.Sc. or Ph.D.) in Computer Science or related fields, combined with 6+ years of industry experience. You should have deep expertise in high-performance computing, distributed systems, and network architectures. Experience with AI frameworks, communication libraries (NCCL, UCX), and network protocols (InfiniBand, RoCE) is highly valued.
NVIDIA offers the opportunity to work with some of the industry's brightest minds and contribute to groundbreaking technologies that are transforming industries worldwide. The company maintains a strong commitment to diversity and inclusion, fostering an environment where innovation and creativity can thrive.
This role is perfect for someone who is passionate about both the theoretical and practical aspects of system architecture, enjoys solving complex technical challenges, and wants to be at the forefront of the AI revolution. You'll be working in either Yokneam or Tel Aviv, Israel, contributing to technology that powers scientific research, engineering advancement, and the future of AI computing.
Responsibilities For Senior AI Network System Architect
- Define, develop, and execute benchmarks to analyze system performance and identify bottlenecks
- Drive future product direction through deep-dive analysis of system architectures
- Develop and validate performance and network simulation models
- Analyze and optimize AI stack including communication libraries
- Conceptualize next-generation networking architectures
- Collaborate with multi-functional teams on architecture execution
Requirements For Senior AI Network System Architect
- M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering
- 6+ years of industry or research experience in high-performance computing
- Understanding of large-scale system behavior and distributed computing workloads
- Experience in simulative performance analysis or benchmarking
- Strong analytical and problem-solving skills
- Programming skills in Python and/or AI frameworks
- Ability to work in fast-paced environment with multiple groups
