Quality Systems Manager

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