Develop frontier language models and agents. Training, reinforcement learning, and inference in one system, on River Cloud or your own GPU cluster. Backed by General Catalyst.
About the role
We are looking for a hands-on Data Center Operations Technician to keep the infrastructure behind River’s AI systems running reliably. Your goal is to bring new equipment online safely, diagnose and repair hardware faults, and minimize downtime across our compute infrastructure. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- High school diploma or equivalent
- At least two years of experience in a data center or a comparable mission-critical environment, including hardware, industrial, or manufacturing operations
- Hands-on experience troubleshooting and repairing server, storage, and network hardware
- Basic Linux skills, including connecting to servers over SSH and reading logs
- Working knowledge of rack installation, power cabling, and copper and fiber cabling
- A careful, methodical approach to safety, procedures, labeling, and verification
More about this role
At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, bespoke training infrastructure, next-generation UIs, and frontier deep learning research..
We are looking for a hands-on Data Center Operations Technician to keep the infrastructure behind River’s AI systems running reliably. Your goal is to bring new equipment online safely, diagnose and repair hardware faults, and minimize downtime across our compute infrastructure.
You will own day-to-day hardware operations, from receiving and installing equipment to troubleshooting failures and retiring systems. Working closely with infrastructure engineers and vendors, you will help maintain a safe, organized, and reliable data center.
At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are building the full stack required for people and organizations to create AI models of their own - from training infrastructure and open-weight model post-training to personal hardware and next-generation interfaces.
We are scientists, engineers, and builders from...
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