Primeintellect
Member of Technical Staff - GPU Infrastructure
San Francisco · Staff+
Sponsorship not specified$150k-$300kDetected 13 days ago
PythonBashNode.jsFull-Stack DevelopmentDatabricksDockerKubernetesTerraformAnsibleLinuxDatadogMachine LearningPyTorchLLMsResearchLeadershipCommunication
About the role
- The next generation of AI companies, enterprises, and research teams do not just need more GPUs.
- Core Technical Responsibilities This customer-facing role combines deep technical expertise with hands-on implementation.
Responsibilities
- the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
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
- This customer-facing role combines deep technical expertise with hands-on implementation.
Nice to have
- Experience with 1000+ GPU deployments
- NVIDIA DGX, HGX, or SuperPOD certification
- Distributed training frameworks (PyTorch FSDP, DeepSpeed, Megatron-LM)
- ML framework optimization and profiling
- Experience with AMD MI300 or Intel Gaudi accelerators
- Contributions to open-source HPC/AI infrastructure projects
- Growth Opportunity
Compensation
- Cash Compensation Range of $150-300k plus Equity Incentives
Company info
- Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models.
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This listing is sourced directly from Primeintellect's careers page and normalized into a canonical job model.