Hardware Validation Manager

Responsibilities

• Define and implement board and multi-board hardware validation plans across Proto, EVT, DVT, and PVT phases
• Develop and execute validation strategies covering electrical, functional, and system-level requirements
• Ensure validation coverage aligns with product specifications, customer requirements, and industry standards
• Drive root cause analysis and corrective actions for hardware validation failures
• Build, mentor, and manage a team of hardware validation engineers
• Collaborate with hardware design, silicon, firmware, and manufacturing teams across the product lifecycle
• Establish validation milestones and deliverables aligned with program schedules and product release goals
• Drive improvements in validation methodology, tooling, automation, and data analysis

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering or related field
• 10+ years of experience in board-level hardware validation, system testing, or product validation
• 3+ years of experience leading engineering teams
• Strong understanding of hardware development lifecycle (Proto, EVT, DVT, PVT)
• Experience with lab instrumentation such as oscilloscopes, spectrum analyzers, and power analyzers
• Proven track record delivering hardware products from prototype through production
• Strong analytical and problem-solving skills with experience driving root cause investigations

Preferred Qualifications

• Experience influencing validation requirements during architecture and schematic phases
• Experience embedding validation hooks and testability features into hardware designs
• Experience implementing automated hardware regression testing
• Familiarity with data pipelines, dashboards, and validation data analytics
• Experience validating multi-board systems and high-speed interfaces (PCIe, DDR, SerDes)
• Experience working with power-dense or high-performance compute systems

About the Company

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute, developing hardware, software, and systems infrastructure to power the next generation of AI breakthroughs.