Drimva

Crusoe

Principal Product Manager, AI Infrastructure (Networking)

$285K–$335K

Sunnyvale, CA - US +1 · On-site · Principal · Full-time · Posted Aug 27, 2026

Location
Sunnyvale, CA - US
San Francisco, CA - US
Experience
8+ years; technical product management experience or product-minded infrastructure engineering experience.
Education
Bachelor’s degree in electrical engineering, computer science, or a related field.

About the job

Owns Crusoe’s long-term networking architecture and technology strategy for AI infrastructure, including the network fabric connecting large GPU clusters.

What you'll do

  • Define the 2–4 year networking roadmap, architecture, and performance, reliability, scalability, and cost targets.
  • Own network vendor strategy, cost structure, capital allocation, and technology choices for NICs, DPUs, and switches.
  • Set cross-data-center connectivity, topology, and failure-domain strategy; partner with engineering and communicate major tradeoffs to leadership.

What they ask for

  • Bachelor’s degree in electrical engineering, computer science, or a related field.
  • 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of architecture-level outcomes at Principal or equivalent scope.
  • Networking expertise, including fleet-wide network architecture, topology design, failure-domain strategy at scale, and long-term vendor strategy.
  • Direct experience with RDMA fabrics such as InfiniBand or RoCE, and GPU cluster networking for AI training or inference.

Nice to have

  • Experience with data center network design, including cross-DC and multi-site connectivity.
  • Familiarity with networking silicon, NICs, and switch vendors serving AI infrastructure; experience managing or mentoring product managers.

Pay

USD $285,000 - $335,000 base salary + Bonus; Restricted Stock Units are included in all offers.

Tools

InfiniBand, RoCE, RDMA, NICs, DPUs

AI focus

Networking infrastructure strategy for GPU clusters used in AI training and inference.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)