Consultant – Assurance & Validation, GPU Infrastructure

Job Description Provide independent technical assurance and validation of GPU implementation and ongoing operations. Serve as the client’s technical conscience to ensure quality, performance, and readiness of the delivered GPU platform. Responsibilities Develop and execute comprehensive technical acceptance and validation plans covering hardware, fabric, storage, management tools, and performance baselines. Independently review and challenge OEM designs, configurations, test results, operational procedures, and documentation. Validate critical technical areas including NVIDIA B300 GPU health, 800G fabric performance, PowerScale/NVMe behaviour, OpenManage/iDRAC, and Fabric Manager effectiveness. Supervise Provision, image, and lifecycle-manage GPU nodes (HGX servers, driver/CUDA stack, firmware, NVLink/NVSwitch). Supervise cluster bring-up, expansion, upgrades, and hardware qualification Oversee the quality of knowledge transfer and internal operational readiness. Lead or support root-cause analysis on significant incidents and ensure effective corrective and preventive actions. Maintain technical evidence packs for acceptance, audit, and compliance purposes. Advise the Program Delivery Lead on technical risks, trade-offs, and readiness for future Platform foundation capabilities. Participate in orchestration layer selections in addition to providing the competitive analysis on the pros & cons of each solution. Qualifications Required Experience & Background: 10+ years in GPU, HPC, or large-scale AI infrastructure engineering, with significant proven experience validating or assuring third-party implementations. Strong practical knowledge of NVIDIA GPU systems, high-speed interconnects, enterprise storage, and server management tools (Dell ecosystem preferred). Ability to translate deep technical findings into clear program, risk, and commercial implications. Experience working in an oversight or assurance capacity rather than pure hands-on build/operate roles. Preferred Certifications NCP-AII – NVIDIA-Certified Professional: AI Infrastructure NCP-AIO – NVIDIA-Certified Professional: AI Operations NCP-AIN – NVIDIA-Certified Professional: AI Networking NCP-ARI – NVIDIA-Certified Professional: AI Rack and Interconnect Red Hat Certified Specialist in Containers and Kubernetes – OpenShift Container Platform 4.6 Red Hat Certified Specialist in OpenShift Administration Dell Technologies related certifications (PowerEdge, OpenManage, or AI solutions) ITIL 4 Foundation or higher Relevant Linux or systems certifications (RHCSA or equivalent) – advantageous Show more Show less

Required Experience & Background: 10+ years in GPU, HPC, or large-scale AI infrastructure engineering, with significant proven experience validating or assuring third-party implementations. Strong practical knowledge of NVIDIA GPU systems, high-speed interconnects, enterprise storage, and server management tools (Dell ecosystem preferred). Ability to translate deep technical findings into clear program, risk, and commercial implications. Experience working in an oversight or assurance capacity rather than pure hands-on build/operate roles.

Develop and execute comprehensive technical acceptance and validation plans covering hardware, fabric, storage, management tools, and performance baselines. Independently review and challenge OEM designs, configurations, test results, operational procedures, and documentation. Validate critical technical areas including NVIDIA B300 GPU health, 800G fabric performance, PowerScale/NVMe behaviour, OpenManage/iDRAC, and Fabric Manager effectiveness. Supervise Provision, image, and lifecycle-manage GPU nodes (HGX servers, driver/CUDA stack, firmware, NVLink/NVSwitch). Supervise cluster bring-up, expansion, upgrades, and hardware qualification. Oversee the quality of knowledge transfer and internal operational readiness. Lead or support root-cause analysis on significant incidents and ensure effective corrective and preventive actions. Maintain technical evidence packs for acceptance, audit, and compliance purposes. Advise the Program Delivery Lead on technical risks, trade-offs, and readiness for future Platform foundation capabilities. Participate in orchestration layer selections in addition to providing the competitive analysis on the pros & cons of each solution.