Vehicle Systems Engineering Intern (Winter/January 2027, 4- 8 Months)
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an 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!
What you'll do:
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.
The opportunity:
- 4- 8 month work-term beginning January 2027.
- Full-time, paid internship: Monday - Friday, 37.5hrs/week.
- Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
- Learn more about the Geotab Campus Program here.
- This posting is for an existing vacancy.
How you'll make an impact:
- 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. BigQuery 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
What you'll bring to the role:
- Pursuing a Degree/Diploma in Mechatronics, Mechanical, Electrical Engineering, Software 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 understanding of vehicle architectures, including hybrid/ electric vehicles
- Hands-on vehicle experience is an asset (Can you diagnose a problem with your car?)
- Self- starter
- Results- oriented
- Strong time management skills
- Fantastic communication skills
- Interest in new mobility technologies, telematics and vehicles
- Experience or interest in hybrid and electric vehicles and/or green technologies is an asset
- Must have a valid driver’s license
How we work:
This role offers an hourly pay range which is anticipated to be the range listed below. The actual pay for this position depends on a variety of factors such as but not limited to student's academic program, relevant experience, and location. Geotab is committed to fair and equitable compensation and will share final details as part of the offer process. All offers of employment are contingent upon proof of eligibility to work for the duration of the internship and the individual's ability to pass a background check.