Member of Technical Staff - GPU Infrastructure
Prime Intellect · San Francisco · Remote
CHECKED 19H AGO
Infrastructureremote$150k–$300k
At a glance
Highlights
- Design optimal GPU cluster architectures scaling from 100 to 10,000+ GPUs.
- Partner directly with customers powering next-generation AI breakthroughs.
- Build the open superintelligence stack for frontier-scale post-training.
What they offer
- Equity incentives
Ideal candidate
Customer-obsessed infrastructure builder who thrives owning complex deployments end-to-end and helping ambitious AI teams turn workflows into reliable, high-performance systems they own.
Requirements
- 3+ years hands-on experience with GPU clusters and HPC environments
- Deep expertise with SLURM and Kubernetes in production GPU settings
- Proven experience with InfiniBand configuration and troubleshooting
- Strong understanding of NVIDIA GPU architecture, CUDA ecosystem and driver stack
- Experience with infrastructure automation tools (Ansible, Terraform)
- Proficiency in Python, Bash and systems programming
- Track record of customer-facing technical leadership
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