Data Center White Space Designer

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.

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, compute, carrier) to align white space design with rack-level requirements.

• Lead project coordination meetings to align on scope, timelines, and critical design updates.

Product Gap Analysis & Roadmap Input

• Maintain a running view of where rack technology is headed (power density, liquid cooling, busway/PDU requirements, interconnect topologies) and flag implications for the GIGA BASE roadmap before they become deployment blockers.

• Partner with product development on design reviews for new or modified GIGA BASE components driven by rack requirement changes.

• Represent white space and rack layout considerations in internal product planning discussions.

Site Validation & Operations Support

• Travel to new and existing data centers to conduct on-site design validation, commissioning, and engineering analysis.

• Act as subject matter expert for white space and rack systems, validating integration with facility operations and infrastructure.

• Provide engineering support during live events and incident investigations to ensure rapid resolution and operational continuity.

• Capture and share all documentation with operations and field engineering teams.

Standards & Continuous Improvement

• Develop and evolve data center white space and rack layout standards, policies, procedures, and commissioning protocols.

• Research and evaluate new AI/ML rack designs, materials, and construction methods, and assess their fit with GIGA BASE.

• Create and validate digital models of data center white space to support design integrity, capacity planning, and scalability analysis.

• Mentor junior engineers and lead knowledge-sharing initiatives on white space and rack layout design.