Vehicle Systems Engineering Intern

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web‑based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace®, offering hundreds of third‑party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

Geotab is seeking a Vehicle Systems Engineering Intern who will focus on growing Geotab’s world‑class vehicle support by researching new vehicles, reverse engineering their systems and automating the process with software tools. If you love technology and are keen to join an industry leader — we would love to hear from you.

As a Vehicle Systems Engineering Intern your key area of responsibility will be to gain access to vehicles both in person and remotely across the world, to reverse engineer vehicular systems. This includes electrical, hardware and communications systems, protocols and legislation. In the past, students have developed software tools in C# and Python, built big‑data dashboards using Google Big Query, reverse engineered vehicles from scratch using our in‑house CAN analysis software, helped diagnose vehicle issues… the list goes on!

You will need to work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/ Mobile development and Hardware teams.

To be successful in this role you will be a self‑starter with strong written and verbal communication skills and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

8‑12 month work‑term beginning September 2026.

Full‑time, paid internship:
Monday – Friday, 37.5 hrs/week.

• Reverse engineer vehicular systems including electrical, hardware and communications systems and protocols.
• Document and design methods to collect data from vehicles in a way that is digestible by Geotab’s hardware and software teams.
• Support the global reverse engineering vision and process by contributing to the use, design and implementation of the software tooling.
• Use cloud‑based data warehouses (e.g. Big Query and Google Cloud compute) for automated analysis of vehicle data and identify vehicle support gaps from our products.
• Assist in the product development cycle through proof of concepts and the execution of beta testing.
• Work closely with all development teams across Geotab and implement new initiatives across Big Data, Firmware, Software/Mobile development and Hardware teams.
• Use strong analytical and project management skills with an ability to identify needs, develop effective solutions and manage projects through completion.
• Manage multiple timelines and contrasting priorities to ensure timely results.
• Use strong written and verbal communication skills and have an ability to quickly understand complex and technical concepts.

• Currently enrolled in a Bachelor’s degree in Computer Science, Mechatronics, Electrical, Automotive, Systems Engineering or a related field.
• CAN and CAN bus related experience is an asset.
• General code gurus with a knack for picking up new languages.
• Useful languages: C#, Python, SQL, MATLAB.
• Other useful software experience: CANalyzer, Simulink.
• Multidisciplinary background.
• Good…