Vehicule Systems Engineering

at  Groom Associes

This company is a global leader in IoT and connected transportation. The company is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. The company’s open platform and 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, this company 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.
Backed by a team of industry leading data scientists, engineers and AI experts, we serve over 50,000 customers across 160 countries, processing billions of data points hourly from more than 4 million vehicles. Data security and privacy are at the forefront of all we do—trusted by Fortune 500 organizations and some of the largest public sector fleets in the world, we meet top cybersecurity standards. The company’s open platform and diverse Marketplace offers hundreds of fleet-ready third-party solutions.
The company is seeking a Vehicle Systems Engineering team member who will take on the crucial task of establishing both hardware and software prerequisites essential for capturing top-tier sensor data from vehicles. This invaluable sensor data serves as the backbone for numerous products at the company, enabling us to provide unparalleled customer support on a global scale. The Vehicle Systems Engineering team member will primarily focus on growing the company’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!
Keep in mind, they could have an opening for junior to senior and there is a role as a lead as well. Currently there is roughly under 20 of such engineers at the company globally.
Title: Senior Software Developer, Generative AI
Location: 3 offices in Ontario, and Atlanta and Detroit are also possible
200 Toronto, Ontario, M5H 3B7, Canada
Oakville, Ontario, L6H 7V2, Canada
Kitchener, Ontario, N2G 4X8, Canada
Detroit is also possible as they are looking to set up an office there.
Atlanta is where they are building their new HQ next year.
Work model: Hybrid
Type of position: Full time, permanent
Salary: ranges from junior to Senior + Bonus + 4% matching RRSPs + 3-4 weeks vacation
Start date: ASAP if possible

Key Responsibilities:

• 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 the company’s hardware and software teams.
• Investigate high priority vehicle data quality issues that interfere with the company’s products.
• Generate design requirements for the hardware and firmware teams to ensure safe interactions with vehicle control systems.
• Create and modify test software and firmware for issue mitigation and feature development.
• Execute and document root cause analysis on potential adverse interactions between the coompany’s systems and vehicles.
• 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.
• Work with OEMs in a technical capacity to implement custom and proprietary data and diagnostics support in the company’s products.
• Maintain legacy products, if applicable, and the support of vehicles using those products.
• Support global strategic initiatives

Required qualifications

• Post-Secondary Degree/Diploma specialization in Mechanical, Mechatronics, Electrical, Computer, Systems Design, Automotive or a related field.
• 1-7+ years of experience with various vehicle systems, sensors, actuators and including controls systems, diagnostics and electrical/ communications architecture, design and operation.
• 1-7+ years of experience with automotive diagnostic standards (e.g. SAE J1939, SAEJ1979, KWP/2000, UDS 14229, ISO 27145 WWH-OBD).
• 1-7+ years of experience with physical layers (e.g. CAN bus, K-Line/ISO9141, VPW/PWM, Single Wire CAN etc.).
• 1-7+ years of experience with vehicle interfacing and analysis tools, automotive diagnostic scan tools and other vehicle development and calibration tools (CANalyzer, CANape, ETAS etc.)
• General experience diagnosing vehicle related problems using conventional tools (probing connectors, harness building, circuit testing).
• Experience with writing and debugging scripts (e.g. Python, Matlab, etc).
• Strong programming fundamentals, and embedded C/C++ considered an asset.
• Experience with workflows for software development.
• Experience with SQL or Google Big Query equivalent.
• Strong analytical skills with the ability to problem solve to well-judged decisions.
• Strong verbal and written communication skills.
• Entrepreneurial mindset and comfortable in a flat organization.

• 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 the company’s hardware and software teams.
• Investigate high priority vehicle data quality issues that interfere with the company’s products.
• Generate design requirements for the hardware and firmware teams to ensure safe interactions with vehicle control systems.
• Create and modify test software and firmware for issue mitigation and feature development.
• Execute and document root cause analysis on potential adverse interactions between the coompany’s systems and vehicles.
• 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.
• Work with OEMs in a technical capacity to implement custom and proprietary data and diagnostics support in the company’s products.
• Maintain legacy products, if applicable, and the support of vehicles using those products.
• Support global strategic initiative