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

AI Research Scientist jobs in Washington

Applied Researcher – AI Expert