Member of Technical Staff

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Prime Intellect
Full time
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USA
10/14/2026
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San Francisco, CA

Responsibilities

Build automated discovery, network boot, OS imaging, and configuration workflows for GPU servers.
Automate BIOS, BMC, NIC, GPU driver, and firmware configuration with staged rollouts and recovery paths.
Develop hardware inventory and lifecycle services tracking machine identity, configuration, health, and readiness.
Create GPU, memory, storage, and interconnect acceptance tests and burn-in workflows.
Integrate provisioning and health checks with SLURM, Kubernetes, and compute allocation systems.
Build observability, quarantine, repair, and re-provisioning workflows and partner with datacenter teams on hardware failures.
Implement secure credential handling, tenant isolation, and data sanitization across the server lifecycle.
Collaborate with hardware, networking, platform, engineering, and customer teams on large-scale GPU infrastructure deployments.

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.
Knowledge of Linux boot, systemd, kernel and driver troubleshooting, and OS image management.
Experience with infrastructure automation tools such as Ansible and Terraform.
Knowledge of GPU server diagnostics, PCIe topology, BMC telemetry, firmware compatibility, networking fundamentals, metrics, logs, alerting, and auditable configuration management.
Preferred experience with large NVIDIA GPU fleets, DGX/HGX platforms, heterogeneous server vendors, MAAS, Ironic, Tinkerbell, Kubernetes or SLURM node lifecycle integrations, hardware qualification, automated burn-in, fleet health scoring, or open-source infrastructure tooling.

Benefits

Equity incentives are included in addition to cash compensation.
The role involves direct collaboration with customers and engineering teams on large-scale AI infrastructure deployments.

Salary: $150k - $300k/yr

Prime Intellect

Prime Intellect builds a full-stack platform for training frontier AI models, giving enterprises access to distributed compute and agentic training infrastructure to develop their own systems. The company operates as a platform and open research lab, with customers leveraging its infrastructure r...

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