Member of Technical Staff - Datacenter Networking
Prime Intellect · San Francisco · Remote
CHECKED 19H AGO
Infrastructureremote$150k–$300k
At a glance
Highlights
- Design and operate networks connecting large-scale GPU clusters for AI training.
- Own reliability and performance of training, storage, and management fabrics.
- Support customers from startups to enterprises powering next-gen AI breakthroughs.
What they offer
- equity incentives
Ideal candidate
Infrastructure engineer who thrives on owning large-scale systems end to end and cares deeply about reliability and performance. Customer-obsessed builder excited to work at the intersection of frontier AI research and real-world deployment.
Requirements
- 3+ years of production datacenter networking experience
- Strong understanding of Ethernet, TCP/IP, routing, switching, and redundant network design
- Hands-on experience with high-performance GPU networking using InfiniBand or RoCE
- Experience troubleshooting network problems across Linux hosts, NICs, switches, and physical links
- Ability to automate network operations with Python, Ansible, or comparable tools
Lab profile
About Prime Intellect
Building the open superintelligence stack for post-training frontier AI at scale
What they build
- Lab platform
- Compute and environments
- Evaluations
Known for
- Post-training at frontier scale
- SFT and RL
- Tool use and agent workflows
- High-performance training infrastructure