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Quality Systems Manager

kandou-ai · Glasgow - EKB
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At Kandou, we are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems — a critical barrier to scalable adoption. Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-efficient. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency — unlocking unprecedented efficiency for AI training and inference at scale. Kandou’s architecture is not just an incremental improvement — it’s a foundational shift in how AI hardware is built for the future. Job Title: Quality Systems Manager Location: Preferably UK (Cambridge or Reading) - Other location in Europe possible Responsibility and Authority • Design, deliver and manage our quality management system (QMS) in accordance with ISO 9001, (2015 and then transition to 2026), and company requirements. • Responsible for quality document administration and control, including Kandou’s Document (DMS) and Issues Management Systems (IMS). • Responsible for internal audit of the QMS, support supplier/customer audits and manage the relevant corrective actions/preventative actions (CAPA). • Champion customer/legislative driven quality, environmental and ethical initiatives e.g. Responsible Business Alliance, Cyber Security, Green House Gas emissions, etc. • Own & present quality metrics, and improvement plans, to management team. • Owner of all internal Quality processes e.g. change management, 5S audits, organisational risk management, etc. • Own and communicate Kandou’s quality message to suppliers, employees, and customers. • Work with commercial, engineering, and operational functions to prioritise and agree on a roadmap of activities for internal and external expectations regarding quality goals. • Define and specify the implementation of quality standards, methods, metrics, and procedures for continuous improvement assuring product quality and business performance, including relevant KPI’s. • Candidate must demonstrate leadership, communication and influencing skills and is able to communicate with ease with customers, senior management and internal stakeholders. Required Experience • 5+ years’ experience of working with, and implementing, Quality Management Systems within the semiconductor and/or technology industries. • Track record of defining quality processes & procedures. • Administration of document and issue management systems. • Practical experience of data collection, pareto & data analysis / trending. • Practical experience of continuous improvement and structured problem solving. • Experience of ISO9001 implementation, maintenance and certification. Equivalent knowledge of IATF16949 and/or ISO14001 is desirable. • Thorough knowledge of quality improvement tools. • Experience in effective collaboration with design, development and manufacturing organizations, particularly as relates to design and product realisation processes. Required Skills • Excellent verbal / written communication, interpersonal and functional team building skills. • Working understanding of statistical decision-making methods including process .capability analysis/MSA and DoE. Ability to use statistical analysis tools a plus. • Knowledge of 6 Sigma methods and techniques, process control systems, process capability, measurements systems analysis, FMEA, corrective & preventive action, and continuous improvement programs. • Competent with Office Products, e.g. Visio, Word, Excel and PowerPoint. • Able to plan & conduct/support internal, supplier & customer audits. • Self starter with the ability to identify issues, work independently, meet the challenge and effect a solution. • Practical understanding/application of quality design toolset e.g. FMEA, APQP, etc. • Expert knowledge of ISO9001:2015 and it’s application in a technology organisation Required Education • Minimum Bachelor’s degree in relevant discipline and/or relevant vocational experience Kandou.ai | Revolutionizing AI Infrastructure

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