Graduate Engineer Trainee

Location: Bangalore

About Cartesian Kinetics

Cartesian Kinetics is revolutionizing the logistics industry by transforming existing distribution centers into modern, high-efficiency fulfillment hubs. Our flagship product, Carte+ , is a groundbreaking robotic platform that retrofits onto existing warehouse racking. By combining our unique robotics with a proprietary AI-powered orchestration software stack, we significantly enhance picking efficiency and storage density without the need for costly and disruptive "greenfield" constructions. Our vision is to empower the thousands of existing "brownfield" warehouses to compete in the age of on-demand fulfillment.

We are backed by leading investors in the robotics space and are poised for significant growth, with a strong customer pipeline and a mission to redefine warehouse automation.

This role is ideal for a fast learner who thrives in a startup environment and can quickly adapt to evolving technical challenges and simulation initiatives.

JD

• Understand our current PLC based warehouse robots and evaluate sensors of various kinds (proximity, torque etc)/ios (lights/actuators) for integration into our product
• Update and improve all parts of the software stack (PLC/UI/HMI and the web UI) in our warehouse management system
• Automate workflows using scripting (python/c#), develop internal simulation libraries & tools
• Support pre-sales solutioning, PoCs, performance benchmarking & throughput studies
• Collaborate with hardware, controls, product & deployment teams to translate simulation insights into real-world impact

Preferred Qualifications

• Strong programming experience in any mainstream ecosystem Python/Javascript/C#/C
• Strong analytical reasoning ability to model, experiment, diagnose inefficiencies
• Hobby projects in Arduino/PlatformIO a strong plus
• UI/UX development familiarity (mobile, web, react) a strong plus
• A good understanding of communication protocols, serial/rs232/rs485/uart, bluetooth/ble, ethernet/tcp-ip etc
• Degree in Engineering / Physics / Mathematics / Industrial Systems
• Experience in manufacturing, automation or robotics strongly preferred
• Excellent communication & ability to handle ambiguity in new projects