
CynLr is a robotics startup focused on developing a universal factory concept where a single robot, CyRo, can perform multiple manufacturing tasks by intuitively grasping and manipulating any object without pre-training. Their core technology, CLX1, is an intelligence stack that acts as a vision platform, enabling machines to 'see' and interact with objects in any environment, adapting to lighting variations and identifying reflective parts. This system aims to replace traditional sensor fusion by offering a unified vision platform that perceives motion, depth, and color simultaneously. CynLr's approach to object manipulation allows robots to learn and re-orient objects based on shape and color, and make precise, oriented placements. The company emphasizes that 'team is the tech,' highlighting the importance of organizational interaction in product development. CynLr has expanded its global presence by opening a design and research center in Switzerland.

CynLr is a robotics startup focused on developing a universal factory concept where a single robot, CyRo, can perform multiple manufacturing tasks by intuitively grasping and manipulating any object without pre-training. Their core technology, CLX1, is an intelligence stack that acts as a vision platform, enabling machines to 'see' and interact with objects in any environment, adapting to lighting variations and identifying reflective parts. This system aims to replace traditional sensor fusion by offering a unified vision platform that perceives motion, depth, and color simultaneously. CynLr's approach to object manipulation allows robots to learn and re-orient objects based on shape and color, and make precise, oriented placements. The company emphasizes that 'team is the tech,' highlighting the importance of organizational interaction in product development. CynLr has expanded its global presence by opening a design and research center in Switzerland.
About CynLr
Just like a baby’s brain, CynLr's Visual Intelligence stack makes Robots to instinctively see & pick any object under any ambience, without any training. (a demo video link).
Today, a robot that can fit a screw into a nut without slipping a thread, doesn’t exist. Imagine what it would take for a robot to assemble a Smartphone or a car by putting together 1000s of parts with varied shapes and weights, all in random orientations. Thus, factories become complex, needing heavy customization of their environment.
CynLr-enabled visual robots intuitively learn to handle even unknown objects, on-the-fly , eliminating the need for rigid fixtures, pre-training, or environment customization. This enables an universal alternative to custom automation thus simplifying factory lines into modular LEGO-like micro-factories that can be rapidly reconfigured as products change.
At the core of CynLr lies a fundamentally new approach to machine vision. Unlike conventional vision systems that rely on image recognition and heuristics, CynLr’ s Vision and ML stacks are deeply inspired by neuroscience , modelling how biological vision understands shape, geometry, and interaction rather than appearance alone. To support this, CynLr builds its hardware, sensors, compute pipelines, and learning stacks from scratch, tightly coupling perception, decision-making, and action.
This integration allows CynLr to operate in conditions that defeat traditional automation: variable lighting, cluttered environments, unknown objects, and high precision manipulation, unlocking automation use cases that have remained unsolved for decades. By rethinking vision as an intelligent, adaptive sense rather than a static tool, CynLr is redefining how robots perceive, reason, and interact with the physical world.
About The Role:
As a Supply Chain Executive at CynLr, you will be responsible for building and orchestrating the ecosystem that enables this technology to exist at scale. You will play a key role in shaping make-vs-buy decisions, managing lead times and risks across geographies, and designing supply chain strategies that support rapid experimentation as well as production readiness. In a system where hardware, sensors, compute, and mechanics are tightly coupled, your ability to understand context, anticipate constraints, and align suppliers with CynLr’s vision is critical to transforming breakthrough research into deployable products.
Key Responsibilities
This role requires curiosity, structured thinking, and the ability to connect engineering intent with real-world supply-chain execution.
Team Structure
The Operations team acts as a cross-functional enablement layer that supports Engineering, Product, and Business teams in executing reliably and at scale. The team comprises Supply Chain, Logistics, Procurement, Finance Operations, and Program Coordination functions.
Each Operations team member owns a primary function while also serving as a passive contributor to other workflows, ensuring continuity across sourcing, movement, costing, and execution. The team works closely with internal stakeholders and external partners to translate technical and business intent into timely, executable operations.
Supply Chain Operations anchor this structure by ensuring material readiness, vendor alignment, inventory visibility, and logistics planning across geographies. By balancing cost, lead time, and risk, the supply chain function anticipates constraints early and enables both rapid experimentation and reliable deployment.
Operations break execution into reusable processes and guides teams through dependencies and trade-offs, allowing CynLr to move fast without losing control.
What You’ll Need to Do This Well
Experience That Will Accelerate You
What will you do?
How will you do it?
Detailed JD Here: Supply Chain Executive