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Analyzes telemetry from data center and engineering infrastructure using data science and machine learning. Cleans and explores datasets, builds reproducible analyses, evaluates predictive models, creates visualizations, documents assumptions, and communicates findings to engineers. The intern applies supervised learning, regression, classification, and statistical methods to identify patterns and anomalies that improve infrastructure reliability and performance.

Validate and debug Graphcore hardware platforms, focusing on LPDDR5 memory subsystems, slow-speed interfaces, PCB issues, power behavior, and signal integrity. Create validation plans, perform board bring-up, tune memory systems, analyze failures, and drive root-cause resolution across hardware and firmware teams using laboratory instrumentation and margin analysis.

Lead hardware manufacturing projects from planning through production release. Align engineering, operations and manufacturing partners, manage priorities, track dependencies, remove delivery risks, and coordinate global cross-functional teams using appropriate project methodologies and PM tools.

Manage hardware assets and inventory supporting engineering labs. Responsibilities include scanning and reconciling assets, ordering and replenishment, RMA coordination, receiving, labeling, staging, distributing, lifecycle tracking, stock readiness, inventory reporting, SOP documentation, and audit support. The role works across Engineering, Lab Operations, IT, and Supply Chain to maintain accurate records and reliable hardware availability.

Provides technical leadership for designing, integrating, validating, and deploying robotic automation systems for data center operations. Leads transition of robotics concepts from R&D to production, coordinates internal and external partners, guides verification and validation, troubleshoots full-stack systems, and develops scalable software, hardware, and fleet-management capabilities. The role also mentors engineers, influences technical direction, evaluates emerging technologies, and supports deployment across partner and manufacturing sites.

Support and maintain Debian and Red Hat Linux infrastructure across bare-metal and virtual environments. Manage DNS, DHCP, NFS, on-premises servers, networking, security patching, and engineering workflows. Automate infrastructure changes with Puppet, Ansible, or similar Infrastructure-as-Code tools and Git. Troubleshoot complex system and network issues, provide technical support, document solutions, and improve infrastructure deployment and maintenance practices.

Supports development and maintenance of digital twins for data laboratories using NVIDIA Omniverse and OpenUSD. Creates 3D models of spaces, equipment, and infrastructure; integrates mechanical, electrical, and facilities data; validates models against drawings and physical environments; documents assets and workflows; tests scenes; and collaborates with multidisciplinary engineers to resolve issues and improve digital twin usability.

Supports the Technical Services team by creating and organizing technical documentation, standard operating procedures, onboarding materials, training content, and knowledge resources for data center engineering environments. Collaborates with subject matter experts, reviews content for accuracy and accessibility, maintains project records, gathers user feedback, and assists with status updates and continuous improvement activities.

Provide advanced operational, diagnostic, and engineering support for Arm-based AI hardware platforms across lab and data center environments. Lead hardware bring-up, validation, break-fix troubleshooting, root-cause analysis, and qualification of server blades, motherboards, power systems, and rack-scale infrastructure. Diagnose thermal, power, networking, BIOS, and BMC issues; develop troubleshooting documentation; collaborate with engineering and infrastructure teams; mentor junior staff; and participate in on-call support during critical milestones.

Design, develop, and deploy UEFI firmware for hyperscale AI server platforms. Responsibilities include platform initialization, hardware configuration, security features, RAS capabilities, telemetry, firmware updates, CI/CD integration, hardware and firmware debugging, and collaboration with silicon, hardware, BMC, ODM, security, and validation teams.