
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 Visual Intelligence stack makes Robots to instinctively see & pick any object under any ambience, without any training. Demo Video
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 System Administrator at CynLr , you will design, build, and evolve IT infrastructure, processes, and practices that support research, product development, and operations, while ensuring efficient, secure, and sustainable usage. Process for the sake of process will not be entertained; utility and convenience take precedence, and every system must justify its existence by improving real outcomes.
CynLr's ambition demands not only breakthrough algorithms and hardware, but also a robust, adaptive, and human-centric IT infrastructure that allows teams to operate with minimal friction and maximum focus. As CynLr scales across disciplines, tools, and geographies, IT infrastructure becomes the information backbone of the organization. The goal of this role is not merely uptime or compliance, but to augment human productivity , eliminate hidden delays and context-switching costs, and ensure that technology remains an enabler rather than a constraint.
Key Responsibilities
A. Operate
B. Build
C. Improve
Team Structure:
What You’ll Need to Do This Well
Experience That Will Accelerate You
What will you do?
How will you do it?
See Detailed JD Here: System Admin