Vehicle System Engineering Intern

Geotab

High Wycombe

2 months ago

Applications closed

Related Jobs

View all jobs

Machine Learning Developer / Engineer

Who we are

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 webbased analytics to help customers better manage their fleets. Geotabs open platform and Geotab Marketplace offering hundreds of thirdparty 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.

Our team is growing and were looking for people who follow their passion think differently and want to make an impact. Ours is a fast paced ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate great benefits and our fun and inclusive work culture. Reach your full potential with Geotab. To see what its like to be a Geotabber check out ourblogand follow us @InsideGeotab on Instagram. Join our talent networkto learn more about job opportunities and company news.

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 Geotabs 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 youll 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 selfstarter 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

12 month workterm.
Fulltime paid internship: Monday Friday.

How youll 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 Geotabs 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 Cloudbased 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 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 of strong written and verbal communication skills and have an ability to quickly understand complex and technical concepts

What youll bring to the role

Currently enrolled in a Bachelors 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 understanding of vehicle architectures including hybrid/ electric vehicles
Handson vehicle experience is an asset (Can you diagnose a problem with your car)
Self starter and 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 drivers license with at least 1 years driving experience

If you got this far we hope youre feeling excited about this role! Even if you dont feel you meet every single requirement we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

How we work

At Geotab we have adopted aflexible hybridworking model in that we have systems functions programs and policies in place to support both inperson and virtual work. However you are welcomed and encouraged to come into our beautiful safe clean offices as often as you like. When working from home you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloudbased applications collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage worklife balance and keep the Geotab culture going strong with online social events chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management career development training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices please contact us at By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively Geotab) you acknowledge Geotabs collection use and disclosure of your personal data in accordance with our . Clickhere to read our Privacy Notice. Click hereto learn more about what happens with your personal data.

Required Experience:

Intern

Key Skills
Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic
Employment Type :Intern
Experience:years
Vacancy:1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 2, 2025

Careers

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

Jun 29, 2025

Jobs

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Jun 23, 2025

Jobs Careers

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.