About CynLr SA

As a foundational technology building company in Robotics & AI, CynLr builds visual robots that can intuitively learn to pick & handle even unknown objects without requiring any prior training , just like a human baby fiddling with objects. CynLr calls this stack Object Intelligence (OI).

From fitting a screw to removing object out of its the plastic wrapper to automating the assembly of a car/gadget - every such object handling task that involve s "adapting on the fl y" is not prior trainable & thereby remains non-automatable across the industries. Wi t h O I's ability to learn on the fl y, CynLr’s focus is to universally automate factories and eliminate the need for complicated custom machines to manufacture products. Thereby simplifying manufacturing int o Universal Factories, which can be programmatically repurposed to produce a wide variety of Products

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CynLr envisions the future factori es to be decentralised, micro factories (not the Giga Factories ) that could rather be hosted in your street-ends; opening up the possibility of Personalised Products – liberating design of products from the constraints of manufacturabilit y.

A s a Robotics Engineering Int ern at CynLr SA, you will contribute to the design, development, and optimization of our advanced robotic syst ems, specifically supporting the integration and control of CyRo, our multi-arm, dextero us, vision-guided robotic platform . This internship offers an opportunity to work on real-world projects, learning from experienced engineers, and start a career towards making a tangible impact in the field of robotic automation, in real-time.

About Role

You will join a multi-disciplinary team and contribute to the design, development, testing, and deployment of robotic systems and applications in one or more of the following focus areas:

Requirements in Practice

Must have:

Currently enrolled in or recently graduated in Robotics, Mechanical/Electrical Engineering, Computer Science, or related fields, who meet some of the following criteria:

• Good understandi ng of robot kinematics/dynamics, motion planning, or control systems.
• Interest in force control, vision-based robotics, and applied machine learning
• Strong Programming skil ls in Python and/or C++.
• Familiarity with robotic simulation tools (

Good to have:

• Experience with force-torque sensors or admittance/impedance control .
• Exposure to machine learning ( Reinforcement Learning , Deep Learning ) or frameworks ).