Member of Technical Staff - Datacenter Networking
Prime Intellect · San Francisco
Infrastructureonsite$150k–$300k
At a glance
Highlights
- Design and operate networks that connect large GPU clusters for AI training.
- Ensure distributed AI workloads scale without the network becoming a bottleneck.
- Build reliable infrastructure powering the next generation of AI breakthroughs.
What they offer
- Equity incentives
Ideal candidate
You are a hands-on datacenter networking specialist who obsesses over reliability and performance at scale. You thrive diagnosing complex fabrics and partnering with customers pushing frontier AI.
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 across Linux hosts, NICs, switches, and physical links
- Ability to automate network operations with Python, Ansible, or comparable tools
- Experience with leaf-spine architectures, BGP, ECMP, VLANs, and network segmentation
- Knowledge of RDMA, congestion control, lossless Ethernet, and link-level diagnostics
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
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