Lean Manufacturing Engineer

Quandela is a global leader in quantum computing, designing, building, and delivering cutting-edge quantum solutions for research and industry. Its offerings include the most energy-efficient quantum computers for data centers, full-stack quantum computing solutions accessible via the cloud, and algorithm access services for academic and industrial customers. Following a pragmatic, step-by-step roadmap, Quandela has been deploying industrial-grade systems since 2023 while developing future generations of fault-tolerant quantum computers capable of scaling through the integration of thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to address the most complex industrial and societal challenges.

Join Us at the Forefront of Quantum Computing Innovation 🚀 

As our manufacturing moves from R&D and low-volume production toward structured, scalable industrial output, we're looking for a hands-on Lean engineer who combines strong analytical skills with a pragmatic shop-floor mindset. You'll adapt Lean intelligently to a complex high-tech environment (long cycle times, expensive equipment, cleanroom and yield constraints) and help us manufacture faster, more reliably and at greater scale, without compromising quality or innovation. 

Your Key Resonsabilities

• Define and deploy Lean principles across our semiconductor, photonic and system manufacturing, adapting them intelligently to a complex, low-volume/high-mix environment 
• Map end-to-end flows with Value Stream Mapping, define current and future states, and build improvement roadmaps based on real constraints
• Analyze cycle time at product, workshop and process-step level, separating processing, queue, waiting, transport and test times, and lead actions to reduce lead time and WIP 
• Introduce pull-flow or controlled-WIP principles where relevant and improve flow between workshops and production stages
• Identify bottlenecks, analyze equipment loading and capacity losses, and optimize sequencing around constrained equipment 
• Implement and improve OEE monitoring on critical equipment, analyze availability, performance and quality losses, and support preventive maintenance and TPM initiatives
• Develop standardized work with Methods and Production to reduce variability between operators and runs 
• Build shop-floor and visual management systems (safety, quality, delivery, cost, WIP) with daily routines and escalation mechanisms
• Lead structured problem solving (PDCA, DMAIC, 5 Why, Ishikawa, Pareto, Kaizen) and build these capabilities within production teams 
• Deploy and sustain 5S, including in cleanroom environments, while respecting contamination-control and safety requirements
• Work with Process Engineering and Quality to reduce scrap, rework and yield losses without compromi