AI Infrastructure Engineer – GRaduate Industry Traineeships
3 days ago
About the Role
Raydian Cloud is building the physical backbone of enterprise AI. As an AI Infrastructure Engineer focused on physical systems, you'll be responsible for architecting, deploying, and maintaining the high-performance compute environments that power advanced machine learning workloads. From GPU clusters and high-speed networking to storage and cooling systems, you'll ensure our infrastructure is optimized for scale, reliability, and performance.
Key Responsibilities
- Design and deploy physical infrastructure for traditional as well as AI workloads, including GPU servers, high-density compute nodes, and NVMe-based storage arrays
- Manage data center operations, including rack layout, cabling, power distribution, and cooling optimization
- Monitor hardware performance, utilization, and health across distributed environments
- Coordinate with vendors and OEMs for hardware procurement, installation, and support
- Document infrastructure designs, deployment procedures, and operational runbooks
Required Skills & Qualifications
- Hands-on experience with servers, high-performance storage, and compute clusters
- Experience with remote management tools (IPMI, Redfish, BMC) and monitoring platforms
- Excellent documentation and troubleshooting skills
Nice to Have
- Experience with liquid cooling or immersion cooling systems for high-density compute
- Familiarity with edge AI deployments and hybrid infrastructure models
- Certifications in data center operations, hardware engineering, or AI infrastructure
Why Join Raydian Cloud?
- Help build the physical foundation of enterprise AI transformation
- Work with cutting-edge hardware and infrastructure technologies
- Influence infrastructure strategy and deployment standards
- Competitive compensation, flexible work culture, and rapid growth opportunities
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