• Architect large-scale GPU clusters within fixed site power budgets that optimizes for maximum GPU density while reserving necessary headroom for compute services, storage, and networking. • Model and validate power consumption across the full cluster bill of materials (GPUs, CPUs, NICs, switches, fabric components, storage, and facility limits). • Evaluate tradeoffs across multiple fabric networking architectures (InfiniBand, RoCE, SpectrumX) as well as multi-plane, 2-tier/3-tier, and rail-optimized topologies. • Determine network scale limits based on switch radix, link speed, topology, and blocking requirements. • Gather, interpret, and maintain detailed SKU-level power and thermal specifications for GPUs, NICs, switches, DPUs, storage, and server platforms. • Develop power-aware cluster configuration templates and capacity-planning models that can scale across sites with varying constraints and allow for quick iteration and ideation. • Document architecture, design choices, tradeoff analyses, and operational considerations for deployment and lifecycle management. • Provide guidance on future-proofing, including the ability to incorporate next-gen GPUs, NICs, or fabrics. • Collaborate with vendors on novel fabric architectures that enable large-scale cluster deployments (100k+ GPUs)

• This role directly reports to and supports the Associate Director of T&O Risk (1B) - Business Risk Advisory and Controls - Testing & Advisory • The candidate will provide independent advisory, oversight, and validation of governance, risk, and control activities that support Enterprise Data Governance and AI Governance • The candidate will also support Product/Service/Process Risk Assessments (PSPRA) and Regulatory Compliance Risk Assessment (RCRA), maintain Process Risk and Control (PRC) libraries and advise on Key Risk Indicators (KRIs) • The role works in close collaboration with First Line of Defense (1LOD) and Regulatory Compliance and Risk-related Second Line of Defense (2LOD) partners to support and strengthen governance and risk management across the enterprise

• Lead early customer discovery, outreach, and partnerships • Define and execute go-to-market and pricing strategy • Own fundraising, pitch development, and investor relationships • Help scale the company from seed to Series A • Represent the company in external conversations, events, and media

• Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts. • Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows. • Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements. • Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle. • Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges.