Designworks Talent LLC

Researcher

• Develop and maintain a forward-looking technical perspective on AI models and inference technologies
• Hold the company’s view of future data center infrastructure
• Track vendor and hyperscaler roadmaps, research, standards, startups, and venture activity across power, cooling, construction, rack and hall architecture, siting, regulation, and economics
• Formulate and validate product and engineering theses covering what to build, buy, or partner for
• Own the technical reference view of data center halls at each GPU generation, including density, power envelope, cooling topology, and site capacity
• Visit operating and prospective data center sites
• Develop and defend cost metrics including cost per rack, per MW, and per GPU-hour
• Support sales and delivery in technically demanding customer and partner conversations
• Inform product and go-to-market teams about credible capabilities and timelines
• Provide technical diligence on infrastructure partners, colocation providers, vendor reference designs, and prospective acquisitions
• Influence engineering roadmaps, infrastructure architecture, product direction, technology investments, commercial positioning, and AI workload economics
• Collaborate with senior technical and business leaders without initially managing an operational team

Applied Researcher – Data Centers

AI Research Scientist

• Hold the company's view of the future direction of data center infrastructure
• Track vendor and hyperscaler roadmaps, research, standards work, startup and venture landscapes across power, cooling, construction, rack and hall architecture, siting, regulation, and infrastructure economics
• Formulate and validate product and engineering theses about what to build, buy, or partner for
• Pressure-test technology positions against cost, schedule, and physical plant constraints
• Own the technical reference view of client halls across GPU generations, including density, power envelope, cooling topology, and site capacity
• Visit operating and prospective sites
• Influence cost models for finance, pricing, and sales, including cost per rack, MW, and GPU-hour
• Support sales and delivery in technically demanding customer and partner conversations
• Provide product and go-to-market guidance on credible capabilities and timelines
• Conduct technical diligence on infrastructure partners, colocation providers, vendor reference designs, and prospective tuck-in targets
• Validate power strategy, including interconnect availability, queue position, utility and PPA structures, on-site generation, long-lead equipment, site selection, and build sequencing
• Collaborate with engineering, product, infrastructure, finance, and commercial teams as a senior individual contributor

Applied Researcher – AI Expert

Artificial Intelligence

• Lead complex AI infrastructure and data center deployment programs from planning through production handoff
• Coordinate site readiness, racks, cabling, power, cooling, networking, storage, and GPU infrastructure
• Translate technical requirements into deployment plans, milestones, readiness criteria, and deliverables
• Partner with engineering, infrastructure, facilities, operations, supply chain, OEMs, contractors, and vendors
• Own program schedules, dependencies, critical paths, risks, issues, actions, key decisions, and RAID
• Drive commissioning, integrated systems testing, burn-in, validation, punch-list resolution, and operational readiness
• Identify blockers and keep complex deployments moving
• Provide updates to technical and executive leadership on progress, risks, trade-offs, and decisions
• Establish repeatable processes for deploying AI infrastructure efficiently and reliably at scale
• Lead work across GPU infrastructure, high-performance networking, AI/HPC storage, high-density infrastructure, cluster bring-up, performance acceptance, and production operations as applicable

Applied Researcher – Data Centers

Applied Researcher – AI Expert

Technical Program Leader – AI Infrastructure