What You'll Do
Drive the architecture and implementation of scalable rack systems engineered for AI and cloud computing at scale. Translate high-level cluster designs into deployable, production-grade rack solutions that meet performance, density, and serviceability requirements.
Integrate critical subsystems—networking, power distribution, and thermal management—within high-density GPU environments to ensure reliable, efficient operation. Own the final stages of deployment, working directly with customers and internal teams to ensure designs are accurately realized in production.
Develop optimized rack layouts and cabling strategies, including fiber and copper routing, patch panel configurations, and high-density interconnects. Establish technical standards and produce detailed documentation such as rack elevations, bills of materials, and operational runbooks used by field teams and clients.
Collaborate across hardware, thermal, manufacturing, and software engineering groups to guide solutions from concept through new product introduction and into high-volume deployment.
Requirements
- Proven experience in designing and validating rack-scale systems for hyperscale environments
- Strong understanding of data center infrastructure, including power, cooling, and network integration
- Experience with high-density computing platforms, particularly GPU-based AI clusters
- Ability to lead cross-functional initiatives and deliver complex hardware systems
- Proficiency in creating technical documentation and deployment standards
- Hands-on problem-solving skills with a focus on scalability and serviceability
Benefits
This role offers the opportunity to shape the physical foundation of next-generation AI infrastructure. Work at the intersection of hardware and large-scale computing, influencing designs that power advanced machine learning workloads. Collaborate with leading engineering teams and directly support deployment for major cloud and AI operators.
