Supply Quality Engineer

Join the Team at Graphcore

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 brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

Ready to raise the standard for supplier quality in advanced AI manufacturing? Apply now to be part of the journey.

We are seeking a highly motivated individual with experience in managing supply chain quality in a high-tech manufacturing organisation. The ideal candidate will be hands-on, comfortable with ambiguity and able to manage multiple projects and stakeholders simultaneously.

Working across our entire supply chain in a technically challenging, fast paced environment, you will ensure the readiness of our global supply chain to ramp successfully as we develop and manufacture the world’s most advanced AI systems and services.

The Graphcore Quality Team delivers outstanding customer experience and champions sustainable excellence throughout Graphcore. We are responsible for customer, supply chain and product quality, as well as organisational compliance, governance and assurance. You will be joining a diverse team of experts in these domains based in our Bristol, Cambridge (UK) and Hsinchu (Taiwan) offices.

Responsibilities and Duties

• Facilitate APQP activities such as risk assessment, failure mode and effects analysis (FMEA), and control plan development to proactively identify and mitigate quality risks

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