Staff Hardware Engineer

🇬🇧 Bristol, England
Posted 4 days ago
Expires December 20, 2026

Graphcore is seeking a Staff Hardware Engineer to ensure the reliability of AI compute hardware, transitioning from lab discoveries to data center implementations. This role involves leading advanced operational, diagnostic, and engineering support across lab and data center environments, focusing on hardware bring-up, validation, and troubleshooting for AI compute platforms. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems.

Key responsibilities include leading advanced troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. The role also involves supporting engineering bring-up activities, including component validation and firmware interaction testing, diagnosing system-level failures involving thermal behavior, power anomalies, network configuration, and BIOS/BMC issues, and collaborating with server engineering teams to perform root cause analysis and propose corrective actions or design improvements. Additionally, the role supports the deployment and rollout of next-generation hardware platforms through structured validation and qualification cycles, interfaces with facilities and infrastructure teams to understand environmental factors impacting system reliability, develops and maintains standard operating procedures (SOPs), troubleshooting guides, and validation documentation, provides guidance and mentorship to junior technicians and engineers on troubleshooting methodologies and hardware diagnostics, and participates in on-call rotations or off-hours support during critical engineering milestones or hardware bring-up phases.

The ideal candidate should have a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline, with over 10 years of experience with server hardware architectures and board-level debugging. Experience in analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures is essential. Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure is required. Strong collaboration skills and the ability to work effectively in fast-paced engineering environments are necessary, along with excellent written and verbal communication skills.

While not mandatory, experience supporting prototype or pre-production hardware bring-up, familiarity with data center facilities, including liquid cooling and power distribution systems, experience using Python, Bash, or automation tools for hardware validation or troubleshooting, and exposure to structured failure analysis and reliability engineering methodologies are desirable.

Graphcore offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits include medical, dental, and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services, and an Employee Assistance Programme (EAP). The company promotes a culture of continuous learning and constant innovation, encouraging employees to engage in various shared interests and activities, such as ML reading groups, board game socials, book clubs, and wellness sessions. Employees can also enjoy unlimited coffee from on-site barista bars and participate in social events and diversity celebrations.

Joining Graphcore means becoming part of a team at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products that expand human potential. The company values diverse backgrounds and experiences, fostering an inclusive environment where everyone can do their best work. Employees are encouraged to take responsibility, act quickly, and speak up when something needs attention, with decisions shaped by data, system behavior, and practical engineering judgment.

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