TensorWave

• Own front-end network architecture - DCI, edge, ingress/egress, and control-plane networks • Architect and operate large edge and service networks • Design scalable Ethernet architectures • Define routing, segmentation, and isolation strategies • Lead hands-on deployment, validation, and troubleshooting in new data centers • Define and maintain reference architectures, standards, and long-term growth models • Own relationships with network carriers and service providers • Work in collaboration with the platform team to design and deliver network solutions for Kubernetes-centric use cases • Partner closely with the Back End Network Principal to define clean interface boundaries between front-end and RDMA back-end fabrics

• Lead all phases of design management for hyperscale and AI data center developments. • Manage architectural and engineering consultants throughout schematic design, design development, construction documents, and permitting. • Coordinate multidisciplinary teams including civil, structural, architectural, mechanical, electrical, plumbing, fire protection, and telecommunications. • Conduct constructability reviews and value engineering exercises to improve project performance while reducing cost and schedule risk. • Partner with Development, Construction, Procurement, and Operations teams to ensure seamless project execution. • Review and approve drawings, specifications, RFIs, submittals, and design changes. • Drive design schedules and monitor consultant deliverables to meet aggressive project milestones. • Ensure compliance with applicable building codes, industry standards, and mission-critical design requirements. • Support procurement of long-lead equipment by validating technical specifications. • Assist in development and maintaining standardized programs, processes, technical standards, workflows, templates, and governance supporting data center design, engineering, construction, commissioning, program management, and operations. • Collaborate with stakeholders to implement best practices that improve quality, consistency, and project execution. • Participate in commissioning planning and operational turnover activities. • Identify project risks and develop mitigation strategies throughout the design lifecycle. • Present project updates and design recommendations to executive leadership and key stakeholders.

• Perform detailed design review and technical validation of high-power electrical distribution systems, including medium voltage switchgear, uninterruptible power supplies (UPS), paralleling switchgear, and generator plants. • Design and model electrical infrastructure to support next-generation AI hardware, focusing on high-density power delivery at the rack level and ensuring system reliability (fault tolerance, selectivity). • Conduct power quality studies, short circuit analysis, and arc flash analysis using industry software (e.g., SKM, ETAP). • Provide subject matter expertise during construction, commissioning (Level 4/5 testing), and operation to resolve complex electrical issues. • Ensure all electrical designs adhere to NFPA 70 (NEC), IEEE, and corporate safety standards.

• Oversee the entire global data center construction portfolio, managing a multi-billion-dollar capital expenditure budget and delivery pipeline. • Develop and execute the program-level construction strategy, including selection and management of general contractors (GCs), EPCM firms, and key vendor partners. • Accountable for ensuring all projects are delivered on-time, within budget, and to the specified quality and technical standards required for AI compute operations. • Establish program-wide construction risk management, quality assurance/quality control (QA/QC) protocols, and project reporting metrics. • Collaborate with Site Acquisition, Design, and Sourcing teams to de-risk projects and resolve complex technical or contractual issues at an executive level.

• Resolve Complex Escalations: Act as the final authority on issues exceeding GOC scope, utilizing code-level debugging and architectural investigation. • Direct Customer Engagement: Partner with customer technical leads to diagnose production issues, ensuring transparency and rapid resolution through active collaboration. • Iterative Problem Solving: Develop diagnostic scripts and workarounds to maintain customer operations while long-term patches are in development. • Drive Root Cause Analysis: Own end-to-end P1 resolution, partnering with TAMs to deliver clear, actionable post-incident analysis. • Bridge to Engineering: Convert recurring customer pain points into evidence-based feature requests, influencing product roadmap to resolve systemic failures. • Build Scalable Knowledge: Document non-obvious platform behaviors and refine GOC runbooks, ensuring institutional knowledge grows with every incident.

• Operate and maintain distributed storage platforms, including Ceph (RBD, CephFS, RGW), High-performance NAS platforms (e.g., Weka, VAST Data) • Manage storage lifecycle operations - cluster expansion, upgrades and migrations • Monitor and maintain storage health, including capacity utilization, data distribution and balance, cluster state and recovery operations • Analyze and troubleshoot storage performance across IOPS, throughput, and latency (including tail latency) • Identify and remediate bottlenecks across disk subsystems, network paths (including RDMA where applicable), client access patterns • Support incident response and root cause analysis for storage-related issues • Ensure storage platforms meet performance expectations for GPU and Kubernetes workloads • Operate and support Kubernetes-integrated storage - CSI drivers, StorageClasses, PersistentVolumes / PersistentVolumeClaims • Troubleshoot storage-related issues in Kubernetes environments, including stateful workloads, performance inconsistencies, scheduling and provisioning failures • Execute and improve automation for storage deployment and operations using Ansible, Terraform, Kubernetes manifests / Helm • Contribute to improving monitoring and alerting, operational workflows, runbooks and documentation • Partner with DevOps and Platform Engineering (automation and orchestration), Network Engineering (high-throughput and RDMA networking), Compute / Virtualization teams • Help ensure end-to-end performance across compute, network, and storage layers

• Design and build integrations between internal platform services (e.g., messaging/pub-sub systems), infrastructure systems (compute, storage, networking), third-party vendor platforms • Develop services and tools that enable automation workflows, system coordination and orchestration, event-driven infrastructure operations • Write production-quality code in Go, Python, Rust (where applicable) • Build APIs, services, and background workers that interact with infrastructure platforms, CI/CD systems, automation frameworks • Ensure code is reliable, observable, maintainable • Integrate software with automation systems such as Ansible, Terraform, CI/CD pipelines (GitHub Actions, ArgoCD) • Enable infrastructure workflows through APIs, event-driven systems, automation hooks • Work closely with DevOps engineers (infrastructure and automation), Development teams (application requirements) • Translate infrastructure capabilities into usable APIs and services • Help teams integrate their systems into platform workflows • Build logging, metrics, and tracing into services • Debug and resolve issues across distributed systems • Ensure integrations are resilient and handle failure scenarios gracefully • Identify gaps in platform integration and automation • Build tooling that reduces manual work and improves system cohesion • Contribute to standards for internal platform development

• Define and own the global data center white space, shell, and critical infrastructure (CI) design standards to support next-generation AI/ML compute hardware, with a focus on power density (e.g., >50kW per rack). • Lead the initial architecture and engineering phases for all purpose-built data center programs, ensuring designs meet hyperscale requirements for reliability (Tier III/IV), efficiency (low PUE), and accelerated deployment. • Direct the selection and integration of advanced cooling topologies, including the strategic adoption of liquid-first and direct-to-chip cooling solutions. • Manage and mentor a team of electrical, mechanical, and architectural design engineers, serving as the final technical authority on all DC engineering decisions. • Drive continuous improvement in design processes, leveraging lessons learned from deployment and operations to reduce time-to-market and construction cost.

• Design and maintain a modular, scalable frontend architecture using TypeScript and React, ensuring consistency across our dashboards • Develop high-performance, reusable component libraries using shadcn/ui to accelerate development and ensure design system integrity • Implement advanced state management and performance patterns to handle complex, real-time GPU telemetry and high-density data visualizations • Establish and enforce frontend standards, including accessibility (WCAG), automated testing, and comprehensive documentation to maintain a high bar for engineering excellence • Partner with backend engineers to create seamless interfaces between our frontend layer and backend services, ensuring reliable data flow and low-latency interactions • Partner closely with UX/UI designers to translate high-fidelity mocks into intuitive user interfaces • Collaborate with cross-functional teams to align frontend strategy with platform goals • Mentor junior engineers through code reviews, pairing sessions, and knowledge sharing to cultivate a culture of continuous learning and high-quality craftsmanship

• Serve as the on-site owner’s representative, managing all phases of a major data center construction project from groundbreaking through final commissioning and handover. • Manage the General Contractor and all associated sub-trades, ensuring strict adherence to the project schedule, technical specifications, and safety plan (EHS). • Own the project budget, tracking all expenditures, change orders, and progress payments to maintain financial control. • Lead daily and weekly project meetings, coordinate the RFI (Request for Information) and submittal process, and resolve field-level issues in partnership with the Design and Engineering teams. • Ensure construction activities comply with corporate quality standards and turnover documentation requirements for the Operations team.