Posted May 22, 2026
We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. # The Team
The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment. # Responsibilities and Duties
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related discipline. - Strong experience with server hardware architectures and board-level debugging. - Experience analyzing system logs, hardware telemetry, and power/thermal metrics to isolate hardware failures. - Hands-on experience with HPC systems, AI compute platforms, or rack-scale infrastructure. - Strong collaboration skills and ability to work effectively in fast-paced engineering environments. - Excellent written and verbal communication skills. ## Desirable
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. - Exposure to structured failure analysis and reliability engineering methodologies.
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