NVIDIA
Senior Scale-Up Network System Architect
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 4, 2026
- Experience
- 8+ years of industry experience in computer networking, system architecture, or high-performance interconnects.
- Education
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
About the job
Develops the end-to-end architecture for next-generation NVLink scale-up networks connecting GPUs across racks and supporting large AI training and inference clusters.
What you'll do
- Define network architecture, including link and switch behavior and rack- and pod-level topology.
- Translate AI workload needs into networking specifications and evaluate trade-offs using simulation and analytical models.
- Coordinate with ASIC, firmware, software, and systems teams to validate and implement architecture decisions.
What they ask for
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
- 8+ years of industry experience in computer networking, system architecture, or high-performance interconnects.
- Strong understanding of network structure and dynamics at scale, including topology, congestion, and failure modes.
- Experience developing or using simulation/modeling environments to evaluate architecture trade-offs.
Nice to have
- Direct experience with NVLink, NVSwitch, or comparable scale-up interconnect technologies.
- Experience with RoCE, memory subsystem architecture, large-scale AI model architectures, or HPC/supercomputing interconnects.
Pay
184,000 USD - 287,500 USD (base salary) for Level 4; 224,000 USD - 356,500 USD (base salary) for Level 5
Tools
NVLink, NVSwitch, RoCE (RDMA over Converged Ethernet), HBM, DDR, LPDDR
AI focus
Architects scale-up networking for AI training and inference clusters; maps workload needs, including LLM and MoE architectures, to network requirements.
Model-written summary · the original posting is authoritative