Job at a glance
About Giga Giga is building gigawatts of AI data centers to hasten a future of intelligence and abundance. We build data centers fast and at scale by combining the capabilities of an equipment supplier, engineering firm, general contractor, and real estate developer under one roof. Our team moves quickly and thinks practically. If you're ready to make an impact in an industry that matters, we're looking for people like you.
Why join Giga The Pace: We're building at a speed most companies talk about but never actually operate at. If you've been bored somewhere else, you won't be here. The Impact : Every person at Giga touches the work that matters. No layers, no waiting for approval chains. You'll see your fingerprints on what we ship. The Team: A team of operators defining the future of AI infrastructure. We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more.
The Moment : AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution. This industry is about to explode, and you'll be in the room where it's already happening. What you'll do As Data Center White Space Designer at Giga, you'll lead the planning, design, and optimization of data center white space for our AI infrastructure projects. You'll own rack layouts, hot/cold containment strategies, power distribution, cable pathways, and infrastructure standards that enable hyperscale compute deployments.
Working across colocation partners, internal teams (mechanical, electrical, structural, fire), and operations, you'll translate complex requirements into robust, executable designs. You'll travel to sites for design validation and commissioning, mentor junior engineers, and help shape the future of our data center design standards. If you want to own end-to-end white space strategy and see it deployed at scale — and fast — this is the role.
Where you'll work This role is based in one of our offices (Houston, TX / Long Beach, CA / San Francisco, CA / Reno, NV). We work in person because the best engineering happens when smart people are in the same room. Regular travel to data center sites for design validation, commissioning, and operational support is expected. That said, we will make exceptions for truly exceptional talent if you live outside one of our hubs.
If you're the right person for this role, we'll have a conversation about what works. Responsibilities AI/ML Rack Layout Strategy & GIGA BASE Alignment Own the white space and rack layout strategy for current and upcoming AI/ML rack platforms (NVIDIA GPU racks, Google TPU pods, Cerebras wafer-scale systems, and comparable accelerator hardware), tracking how power density, cooling, and interconnect requirements are evolving generation over generation Define how each rack platform's requirements map onto GIGA BASE, Giga's modular white space product, including power distribution, containment, cable pathways, and structural interfaces Identify where emerging rack requirements exceed the capabilities of current GIGA BASE modular products, and translate those gaps into clear, engineering-backed requirements for the product development team Basis of Design & Rack Layout Templates Own and maintain Basis of Design (BoD) documents and rack layout templates for each AI/ML rack platform in Giga's pipeline Keep templates current as new accelerator generations, rack form factors, and customer requirements come online Use these templates as the working basis for customer-facing layout conversations, so every engagement starts from a Giga-optimized design rather than a blank sheet Customer & Cross-Functional Coordination Coordinate directly with customers to translate their AI/ML deployment requirements into rack layouts that are optimized around GIGA BASE modular products Collaborate with colocation partners, internal teams (mechanical, electrical, structural, fire), and technology partners (network,