Principal Reliability Scientist
About The Position
Graphcore is a leading innovator in Artificial Intelligence compute, developing hardware, software, and systems infrastructure to drive AI breakthroughs and widespread adoption. As part of the SoftBank Group, Graphcore is committed to enabling Artificial Super Intelligence and making its benefits accessible to everyone. The company fosters a culture of continuous learning and innovation, with diverse teams of AI research specialists, silicon designers, software engineers, and systems architects. The Senior Reliability Scientist will report to the Quality leadership within Manufacturing Operations. This role is responsible for leading reliability activities for complex, high-performance systems. Collaborating with reliability experts and cross-functional teams, the scientist will utilize experimental data and advanced modeling to guide design decisions, validate product reliability, and optimize serviceability strategies, including spares provisioning.
Requirements
- Strong background in reliability engineering or reliability science within semiconductor, hardware or complex systems environments
- Experience of 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
Nice To Haves
- 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
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 rigour 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 development of system-level reliability models incorporating thermal, mechanical and fluid behaviour
- 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 organisation
- Communicate complex reliability concepts, risks and recommendations clearly to a wide range of stakeholders
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
