Robotics Engineering - Applications

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 involves "adapting on the fly" is not prior trainable & thereby remains non-automatable across the industries. With OI's ability to learn on the fly, CynLr’s focus is to universally automate factories and eliminate the need for complicated custom machines to manufacture products. Thereby simplifying manufacturing intoUniversal Factories, which can be programmatically repurposed to produce a wide variety of Products.

CynLr envisions the future factories 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 manufacturability.

As a Robotics Engineer, you will develop physics-based simulations, optimize multi-arm robotic workflows, and integrate AI-driven control systems. This role involves designing, validating, and optimizing robotic motion, perception, and manipulation algorithms for real-world applications. You'll collaborate across hardware, software, and ML teams to enhance robotic autonomy and efficiency

Robot Applications Engineering

a. Supporting CynLr’s Solutions Engineering team with all the Application Development related

Activities – Design, develop, and execute software, features for application sequences, algorithms, kinematics, and solutions that the design team comes up with.

• Help with simulating robot movements for dynamic path, algorithms and design and execute its test and validation.
• Help design team with Robot UI, IDE, Sample code, Safety of Robot operation in the Lab and all ‘nuances’, features, best practices, and customisations of Robot Operation.
• Help with simulations and training of the robot for Object models and teaching the robot for pick, orient and place tasks.
• Coming up with strategies for solving the manipulation solutions, by constructing appropriate paths, interferences, collisions, sensing mechanisms and robot sequences.
• Help with augmenting the design team for interfacing with various Robot controllers and establishing communication protocols with the Robotic Arms
• Understand grasping strategy and device gripper experiments, and assist in gripper design.

b. Study, Understand and Assist in choosing the right robotic arm model for the right application

c. Interface with the customer and support customer with application implementation and delivery.

d. Identify, Connect, and Manage Robot and Robot-related accessory vendors.

Requirements in Practice

• Excellent with classification and operation variations between different Industrial Robots models and makes.
• Understanding of Robot payload computations, dynamic payload variations.
• Excellent with Work envelope understanding and designing for maximum and optimal reach.
• Excellent with visualizing Robot movements and axis variations, joint position changes and robot body interferences.
• Excellent with designing Robot Safe operations procedures, envelopes, and Auto-safety zone.
• Work experience with end-of-Robot tooling, grasp design and placement strategy.
• Strong understanding of Manufacturing process and Assembly lines – Beyond Welding
• Must have had in-depth experience with at least two Robot Programming IDE – Doosan, KUKA, Yaskawa, UR or similar
• Adept with the basics of kinematics.
• Nuanced understanding of Robot communication protocols – Ethernet (UDP, TCP), RS232/485, Industrial communication protocols like Modbus, CAN, etc.
• Good with Sensors, IO programming, PLC Automation, Cabling and Robot Ecosystem.
• Basic Programming skill with at least one Language - Python / C++ / LabVIEW