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

• 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.

• 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 ISO
  9001 implementation, maintenance and certification. Equivalent knowledge of IATF
  16949 and/or ISO
  14001 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.

• 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 ISO
  9001:2015 and it’s application in a technology organisation

• Minimum Bachelor’s degree in relevant discipline and/or relevant vocational experience

Kandou.ai | Revolutionizing AI Infrastructure