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Salary: USD 150,000 - 300,000 / annual
Prime Intellect is building the open superintelligence stack—infrastructure that frontier AI labs build internally, now available to every ambitious AI team. The company's platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. Prime Intellect has raised $150M from Founders Fund, Radical Ventures, NVIDIA, and exceptional operators including Andrej Karpathy and leaders from Perplexity, Harvey, Datadog, Cognition, OpenAI, and others.
In this role, you will own the systems that transform bare-metal GPU servers into reliable, production-ready compute infrastructure. You'll manage the complete machine lifecycle from discovery and provisioning through validation, upgrades, repair, and secure reuse, reducing manual work as the fleet scales.
Core responsibilities include:
- Building automated discovery, network boot, OS imaging, and configuration workflows for GPU servers
- Automating BIOS, BMC, NIC, GPU driver, and firmware configuration with staged rollouts and safe recovery paths
- Developing hardware inventory and lifecycle services that track machine identity, configuration, health, and readiness
- Creating acceptance tests and burn-in workflows for GPUs, memory, storage, and interconnects before capacity enters production
- Integrating provisioning and health checks with SLURM, Kubernetes, and compute allocation systems
- Building observability, quarantine, repair, and re-provisioning workflows; partnering with datacenter teams to resolve hardware failures
- Implementing secure credential handling, tenant isolation, and data sanitization across the server lifecycle
You'll work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure. You'll collaborate with a world-class engineering team while having direct impact on systems powering the next generation of AI breakthroughs.
REQUIREMENTS:
- 3+ years of experience operating Linux servers or building bare-metal infrastructure automation in production
- Hands-on experience with PXE/iPXE, DHCP, image provisioning, and out-of-band management such as Redfish or IPMI
- Strong software engineering and debugging skills in Python, Go, or a comparable language, plus Bash
- Experience designing reliable automation that handles partial failures, retries, and configuration drift
- Ability to own operational incidents and collaborate across hardware, networking, and platform teams
- Linux boot, systemd, kernel and driver troubleshooting, and OS image management
- Infrastructure automation with tools such as Ansible and Terraform
- GPU server diagnostics, PCIe topology, BMC telemetry, and firmware compatibility
- Network fundamentals including addressing, VLANs, DNS, and management networks
- Metrics, logs, alerting, and auditable configuration management
NICE TO HAVE:
- Experience with large NVIDIA GPU fleets, DGX/HGX platforms, or heterogeneous server vendors
- Experience with MAAS, Ironic, Tinkerbell, or similar provisioning systems
- Kubernetes or SLURM node lifecycle integrations
- Hardware qualification, automated burn-in, and fleet health scoring
- Contributions to open-source infrastructure tooling
