Principal Reliability Scientist

About the Position

Principal Reliability Scientist

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

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Responsibilities

• Define and refine reliability requirements across silicon, board, and system levels, working in partnership with research and design teams
• Apply advanced reliability methodologies to highly innovative systems, including challenges associated with liquid-cooled architectures and fluid dynamics
• Design and execute experiments to generate high-quality reliability and performance data, ensuring statistical rigor and relevance
• Analyse experimental, field, and manufacturing data to quantify reliability metrics such as MTBF, MTTR, RAS characteristics, and soft error rates (SER)
• Use data-driven insights to inform product design trade-offs, reliability targets, and spares provisioning strategies
• Collaborate with chip, board, and system design teams to influence architecture and component selection based on reliability considerations
• Support the development of system-level reliability models incorporating thermal, mechanical, and fluid behavior
• Lead complex root cause investigations into reliability issues, driving corrective and preventative actions across teams
• Contribute to the evolution of reliability tools, processes, and best practices within the organization
• Communicate complex reliability concepts, risks, and recommendations clearly to a wide range of stakeholders

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Requirements

• Strong background in reliability engineering or reliability science within semiconductor, hardware, or complex systems environments
• Experience with physics-of-failure approaches in high-performance computing, AI hardware, or related domains
• Experience with reliability modelling, experimental design, and statistical data analysis
• Proven ability to work with and interpret experimental reliability data to drive engineering decisions
• Experience with key reliability metrics such as MTBF, MTTR, RAS, and failure rate analysis
• Ability to operate effectively in complex, cross-functional environments with multiple stakeholders
• Strong problem-solving skills with the ability to lead technically challenging investigations independently
• Excellent communication skills, with the ability to influence design and operations teams using data-driven insights

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Nice to Have

• Experience with liquid cooling systems, fluid dynamics, or thermally complex hardware environments
• Knowledge of soft error mechanisms and SER modeling
• Experience contributing to reliability strategy, processes, or tooling improvements

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We Offer

• Opportunity to work with a leading innovator in AI hardware
• Be part of a diverse and dynamic team
• Competitive compensation and benefits package

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About the Company

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.