Drimva

NVIDIA

Manager, First Time Deployment - NVIS

$184K–$345K

US, CA, Santa Clara · Manager · Full-time · Posted Sep 29, 2026

Experience
8+ overall years, with 2+ years leading or mentoring engineers or architects.
Education
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.

About the job

Leads a technical team deploying NVIDIA GPU and AI networking systems, taking solutions from prototype through customer-site bring-up, validation, debugging, and production deployment.

What you'll do

  • Recruit, manage, mentor, and allocate work for engineers and architects across concurrent customer deployments.
  • Lead technical reviews, architecture discussions, cluster bring-up, and complex compute/network performance debugging.
  • Gather customer requirements and collaborate with engineering, product management, and sales to inform roadmaps and identify deployment opportunities.

What they ask for

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience.
  • 8+ overall years in Systems/Solutions/Field Engineering, Network or Data Center Engineering, or similar roles, including 2+ years leading or mentoring engineers or architects.
  • System-level expertise across CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
  • Experience with data center networking (Ethernet and/or InfiniBand switches, fabrics, and associated tooling) and familiarity with data center infrastructure.

Nice to have

  • Direct people management and recruiting experience for geographically distributed technical teams; experience bringing up and deploying large clusters or supercomputing environments.
  • Customer-facing field engineering, escalation, or pre/post-sales architecture experience; systems coding and debugging skills, including C/C++, Linux kernel, and drivers.

Pay

184,000 USD - 287,500 USD base salary; 216,000 USD - 345,000 USD base salary

Tools

CPU/GPU, NICs, Linux, kernel drivers, Ethernet, InfiniBand, C/C++, CUDA

AI focus

Deploys AI Factory infrastructure and GPU-accelerated systems for customer AI applications.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)