Staff Engineer - Server Hardware Compute Blade and Rack Validation Lead

Stack

Responsibilities

• ▹Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation
• ▹Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness
• ▹Own execution against program achievements and report validation progress and risks
• ▹Triage test failures, collect debug data, and collaborate on root cause analysis
• ▹Track validation coverage and continuously improve test processes and infrastructure
• ▹Collaborate with ODM/JDM partners on validation and quality
• ▹Mentor engineers and drive engineering excellence

Requirements

• ▹Bachelor's or Master's degree or equivalent experience in Computer Engineering, Electrical Engineering, Computer Science, or related field
• ▹Proven track record in system, rack, or embedded validation with leadership experience
• ▹Strong experience in large-scale hardware validation environments
• ▹Expertise in CPU/GPU, memory, IO, and firmware validation
• ▹Experience with Linux/server OS and automation using Python/Bash
• ▹Knowledge of IPMI, Redfish, PLDM
• ▹Experience with CI/CD pipelines and hardware interfaces

Nice to have

• ▹Experience in hyperscale environments
• ▹Familiarity with OpenBMC and firmware functionality verification processes
• ▹Knowledge of firmware security and HIL testing
• ▹Experience with test management tools

Soft skills

What we offer

• ▹Competitive salary
• ▹Flexible working
• ▹Medical, dental and vision coverage
• ▹Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs)
• ▹Disability and life insurance
• ▹401(k) retirement plan
• ▹Commuter benefits, wellness services and Employee Assistance Programme (EAP)

About the company

Graphcore is one of the world's leading innovators in Artificial Intelligence compute, developing hardware, software and systems infrastructure for the next generation of AI. As part of the SoftBank Group, its diverse teams share a culture of continuous learning and constant innovation.