Senior AI Compute Systems Engineer – Hardware Reliability

Graphcore; West of England; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible working

Generous leave

Pension support

Phantom equity

On-site barista and free food

Life insurance and income protection

Private medical insurance

Cycle to work scheme

Job summary

Graphcore is looking for a hands-on engineer to own reliability across AI compute hardware. You will lead diagnostic and engineering support in lab and data centre environments, improving bring-up, validation and troubleshooting for AI compute platforms.

The role requires strong debugging of server hardware, experience with HPC/rack-scale infra, and the ability to drive structured root cause analysis across cross-functional teams. Applicants should communicate clearly and own issues end-to-end.

Qualifications

• Strong knowledge of server hardware architectures and board-level debugging.
• Experience isolating failures using system logs, telemetry, power data and thermal metrics.
• Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure.
• Ability to lead structured root cause analysis and propose practical corrective actions.
• Confidence working across engineering, platform and data centre teams.
• Clear written and verbal communication, with the judgement to guide junior engineers.

Responsibilities

• Lead advanced operational, diagnostic and engineering support across lab and data centre environments.
• Improve hardware bring-up, validation and troubleshooting for AI compute platforms.
• Diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues.
• Turn root causes into corrective actions and better operating practice.
• Support new platforms from early bring-up through deployment.

Skills

Server hardware

Board-level debugging

Telemetry data

HPC systems

AI compute platforms

Root cause analysis

Cross-team collaboration

Communication

Job description

Graphcore is looking for a hands-on engineer to own reliability across AI compute hardware. You will lead diagnostic and engineering support in lab and data centre environments, improving bring-up, validation and troubleshooting for AI compute platforms.

The role requires strong debugging of server hardware, experience with HPC/rack-scale infra, and the ability to drive structured root cause analysis across cross-functional teams. Applicants should communicate clearly and own issues end-to-end.