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As an Applied Data Center Design Engineer, you’ll own the “last mile” of cluster architecture - transforming high-level design specifications into efficient, real-world deployment blueprints for servers, storage, networking, and cabling. You’ll be responsible for customizing data center and rack-level designs based on specific cluster requirements - adapting layouts, power, and connectivity to optimize performance, scalability, and reliability. When real-world constraints like space, power, or supply chain limitations arise, you’ll make smart trade-offs to deliver practical, deployable solutions. This role combines hands-on problem solving with automation and tooling - you’ll also help design and build the frameworks that make each new deployment iteration faster, smarter, and more consistent across sites. It’s a great opportunity for someone early in their career who enjoys working at the intersection of hardware, software, and operations, and wants to shape the foundation of large-scale compute infrastructure.
Job Responsibility:
Translate cluster and rack-level design specifications into deployable blueprints for servers, storage, networking, and cabling
Customize rack-level designs to meet unique cluster requirements, ensuring power, thermal, and network connectivity are optimized for each deployment
Collaborate with operations team to validate and adapt designs based on site-specific constraints (e.g., power, cooling, space, logistics)
Identify and implement automation and tooling to streamline BOM generation and design validation
Participate in data center deployment reviews, ensuring alignment between design intent and implementation
Support issue triage and root cause analysis for deployment-related or physical integration problems
Requirements:
Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field — or equivalent practical experience
1–3 years of experience in infrastructure engineering, data center design, or systems deployment, creating rack elevations, bill of materials (BOMs), and port/cable maps
Familiarity with servers, networking, and storage hardware
Basic proficiency in scripting or automation (e.g., Python, PowerShell, or Bash)
Strong analytical and problem-solving skills with attention to detail
Excellent communication and teamwork skills across multiple engineering disciplines
What we offer:
Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source their cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Enjoy job stability with startup vitality
Our simple, non-corporate work culture that respects individual beliefs