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About the Role
Prime Intellect is building the open superintelligence stack, providing infrastructure for ambitious AI teams. Our platform unifies compute, environments, and deployment for post-training at frontier scale. We are developing open frontier AI models and the platform to build them. We seek individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.
Responsibilities
- Coordinate rack deployment, cabling, inventory, and acceptance testing with datacenter partners and engineering teams.
- Maintain accurate asset records, rack layouts, power allocations, cabling documentation, and spare-parts inventories.
- Lead hardware fault triage and coordinate remote hands, vendor escalations, component replacement, and RMA workflows.
- Establish maintenance plans and change procedures to minimize customer disruption and protect equipment and data.
- Track capacity readiness, hardware failure trends, repair times, and operational risks; automate reporting and workflows.
- Partner with facility teams on power, cooling, environmental monitoring, and readiness for high-density GPU deployments.
- Create runbooks and escalation procedures and support incident response across datacenter and infrastructure teams.
Requirements
- 3+ years in datacenter operations, hardware infrastructure, or production systems operations.
- Hands-on experience deploying and troubleshooting rack-mounted servers, networking equipment, and structured cabling.
- Experience coordinating datacenter providers, remote hands, and hardware vendors through deployments and incidents.
- Working knowledge of Linux diagnostics, BMC consoles, and server hardware health tools.
- Strong operational judgment, documentation habits, and ownership of issues through resolution.
- GPU server components, PCIe devices, memory, storage, and hardware diagnostics.
- Rack power budgeting, redundant power paths, airflow, and high-density cooling fundamentals.
- Fiber and copper cabling, optics, labeling, and physical network troubleshooting.
- Asset tracking, spares management, change control, and incident management.
- Basic scripting for inventory, health checks, and operational automation; familiarity with safe datacenter working practices.
- Experience with NVIDIA DGX/HGX systems or large GPU cluster deployments.
- Liquid-cooled infrastructure and coordination with facility engineering teams.
- Experience bringing up new datacenter sites or expanding multi-site capacity.
- Hardware qualification, burn-in testing, and reliability analysis.
- Experience integrating physical operations with automated fleet provisioning.
Skills
- Datacenter operations
- Hardware infrastructure
- Production systems operations
- Rack deployment
- Cabling
- Inventory management
- Acceptance testing
- Asset tracking
- Rack layout management
- Power allocation
- Documentation
- Spare parts management
- Hardware fault triage
- Remote hands coordination
- Vendor escalation
- Component replacement
- RMA workflows
- Maintenance planning
- Change procedures
- Capacity readiness tracking
- Hardware failure trend analysis
- Repair time tracking
- Operational risk assessment
- Workflow automation
- Facility partnership
- Power management
- Cooling management
- Environmental monitoring
- High-density GPU deployment
- Runbook creation
- Escalation procedure development
- Incident response
- Linux diagnostics
- BMC consoles
- Server hardware health tools
- Operational judgment
- Issue resolution ownership
- GPU server components
- PCIe devices
- Memory troubleshooting
- Storage troubleshooting
- Hardware diagnostics
- Rack power budgeting
- Redundant power paths
- Airflow management
- High-density cooling
- Fiber optic cabling
- Copper cabling
- Network optics
- Physical network troubleshooting
- Spares management
- Change control
- Incident management
- Scripting
- Operational automation
- Safe datacenter practices
- NVIDIA DGX/HGX systems
- Large GPU cluster deployment
- Liquid cooling
- Facility engineering coordination
- New datacenter site bring-up
- Multi-site capacity expansion
- Hardware qualification
- Burn-in testing
- Reliability analysis
- Automated fleet provisioning integration
Location
- Remote
Work Type
- Full-time
Experience Level
- 3+ years
Salary/Compensations
- $150,000–$300,000
Benefits
- Equity incentives
About the Company
- Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
- 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.
- We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them.
- The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
- Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more.
- We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.