Maintain and evolve the iVOD roadmap by combining customer feedback with developments in computer vision and edge computing
Drive mechatronic and hardware specification, including component selection for vision sensors, auxiliaries, illuminators, LiDARs, and industrial computers
Own vendor and supplier relationships, including technical negotiations and procurement for hardware integration
Oversee execution across hardware design, edge AI, cloud infrastructure, and user-facing web dashboards
Serve as the main technical bridge for end-customers through communication, documentation, project scoping, and deployment planning
Lead field testing, roadside commissioning, and real-time operational feedback loops to improve system performance
Develop training materials and onboard internal personnel and external partners on system installation and commissioning
Run daily stand-ups and monthly product reviews to align cross-functional engineering teams around execution targets
Serve as the internal and external subject matter expert for iVOD and mentor team members
Support executive leadership with technical grant applications, progress reports, and RFP/RFI responses
Requirements
Master or PhD in Mechanical, Electrical or Computer Engineering with a focus on mechatronics
Solid Experience in Computer-Aided Design (preferably SolidWorks)
Experience with physical sensor selection (LiDAR, optical, illumination) and embedded system integration
Solid industry experience in intelligent transportation systems (ITS), robotics, automotive, or embedded systems
Experience with Python or similar programming languages
Systems Engineering knowledge and technical documentation, and experience working with suppliers and integrators
Field engineering experience, including installation of components, or experience running mechatronic demos in front of customers/clients beyond internal lab tests
Leadership and project management capabilities
Strategic Planning and Operational Execution Skills
Collaborative and Strong Communication Skills
Open to travelling for work, minimum 4 weeks per year
Hands-on with mechanical and electrical tools, and experience with manufacturing and fabrication processes
Understanding of networking layers, IP, communication protocols, remote access, and cybersecurity including VPN, authentication and encryption
Previous exposure to real-time middleware frameworks, multi-threading and multi-processing
Professional working proficiency in French, written and spoken
Exposure to machine learning frameworks such as PyTorch, TensorFlow, and Keras, and data and cloud tools such as AWS and DVC
Previous exposure to simulation, visualization, and graphics rendering tools such as Unreal Engine and CARLA or equivalents
User Experience Focused and ability to ensure they get the results they need in product
Comfortable driving vehicles in Canada and internationally; Ontario G license
Benefits
The opportunity to work on projects that make the world safer and greener
A culture of very high technical standards where quality engineering is valued over quick hacks
A wide variety of technology and tasks, including hardware selection, distributed and edge computing, ML, real-time processing, and computer vision
Join an international team where your voice is heard and your impact is visible
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