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The Electrical Engineer will design hardware systems for AI applications, develop schematics, create PCBs, and collaborate on designs through production.

Design and optimize storage architectures for AI data centers, focusing on NVMe SSDs and ensuring high-performance data flow to GPUs. Responsibilities include performance tuning, vendor engagement, and managing storage subsystems for AI workloads.

The role involves managing assets and inventory for R&D operations, ensuring efficient material lifecycle management and collaboration across departments to support engineering labs and data centers.

Design and optimize AI data center networks, focusing on high-performance computing and network fabrics, while collaborating with cross-functional teams.

The role involves leading the bring-up and characterisation of silicon devices, executing tests, and liaising with engineering teams to ensure correct operation under all conditions.

The engineer will create and execute plans for silicon device characterisation, liaise with engineering teams, and automate testing processes while producing detailed reports.

The role involves coordinating engineering programs, managing procurement and materials, tracking project schedules, and collaborating with vendors to ensure timely production and quality management.

The Principal Power Engineer will define power delivery architectures, work with cross-functional teams, oversee power policies, and ensure compliance with industry standards in AI computing systems.

Design and architect power delivery systems, ensure performance and reliability, collaborate with teams, and develop solutions for power hardware issues.

The Staff Engineer will design and validate power delivery systems, develop the necessary test infrastructure, manage vendor technologies, set power policies, and ensure compliance with industry standards.