Publié il y a 3 mois
Senior Technical Product Manager - Edge and Mechatronics
@ Invision AI
Toronto, Ontario
En bref
Invision AI is hiring a Senior Technical Product Manager to own its flagship Vehicle Occupancy Detection (iVOD) product, from roadmap and hardware selection through field deployment. The role combines mechatronic system design, vendor management, client delivery and team leadership, and requires travel of at least 4 weeks per year. Compensation includes equity, an RRSP plan, health and dental coverage and 4 weeks of holiday.
Responsabilités :
- Own the iVOD product roadmap and hardware specification
- Manage vendor and supplier relationships and procurement
- Lead field testing, roadside commissioning and client deployments
- Run stand-ups and product reviews for cross-functional engineering teams
- Support executives on grants, progress reports and RFP/RFI responses
Résumé des exigences :
- Master's or PhD in mechanical, electrical or computer engineering (mechatronics)
- Solid CAD experience, preferably SolidWorks
- Experience with LiDAR, optical and illumination sensor selection
- Industry experience in ITS, robotics, automotive or embedded systems
- Field engineering or customer-facing demo experience
- Travel at least 4 weeks per year
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-08-25
- Première détection par notre source
- 2026-10-16
- Mise à jour du dossier source
- 2026-10-16
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Gestion de produit |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : modérés · route : modérés |
| Milieu de travail | Chez les clients, Usine, Véhicule |
| Position | Assis et debout |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
| Permis de conduire | exigé |
| Formation | Maîtrise (exigé), Doctorat (exigé) |
| Domaines d’études | Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics |
| Avantages mentionnés | Régime de retraite, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Invision AI
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
See And Understand The World
Description complète de l’entreprise
Massive amounts of data being created at the edge, uploading this data to the cloud for real-time analysis is neither financially nor technically feasible. Extracting meaning from this data is computationally intensive and expensive, limiting adoption of edge AI to a few high-value applications. After years of research by leaders in computer vision and machine learning we have developed technology that is two to three orders of magnitude more efficient than other high-accuracy deep learning systems. Our patent pending technology evolves the state of the art with a combination of optimization, sprinkled with unique insight and just a little magic. Video is our first application: the system is trained in the cloud by ingesting video where objects and activities of interest have been annotated. Learning is distilled into ultra-efficient software that runs on fixed, body-mounted and vehicle-mounted cameras. We can enable analytics on most professional IP video cameras with just a firmware update. Older cameras can be retrofitted with a low-power embedded processor, such as those from our partners NXP and Ambarella. Our software-only system gets smarter over time: edge cases (where the system is not very confident that it knows what is happening) are captured, uploaded to the cloud for analysis, and the learning distilled into ever smarter software. We work with more than just video: infrared, thermal, radar and lidar play important complimentary roles in helping to establish accurate, detailed situational awareness across a wide variety of environmental conditions. Each sensor detects, classifies and tracks multiple objects locally in real-time. This metadata is then push to the cloud, or a central ECU in the case of a vehicle, where it is fused to establish ground truth, detect behavior, track objects across multiple sensors, and identify anomalies.
- Abonnés LinkedIn
- 5 480
- Personnes associées sur LinkedIn
- 13
- Bureaux déclarés
- 2 Carlton St, Unit 1510, Toronto, Ontario M5B 1J3, CA
- Rue de Lausanne 64, c/o Fondation Inartis, Renens, Vaud 1020, CH
- 13140 W Star Dr, Shelby Township, Michigan 48315, US
- Catégories d’activité
- Facial Recognition
- Artificial Intelligence
- Software
- Enterprise Software
- Internet of Things
- Artificial Intelligence (AI)
- Computer Vision
- Autonomous Vehicles
- Machine Learning
- Autres noms enregistrés
- Invision AI
- Spécialités
- artificial intelligence
- machine learning
- computer vision
- autonomous vehicles
- IoT
- embedded systems
- smart cameras
- sensor fusion
- autonomous vehicles
- intelligent transportation systems
- traffic management
- deep learning
- edge AI
- and embedded systems
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 1 220 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Massive amounts of data being created at the edge, uploading this data to the cloud for real-time analysis is neither financially nor technically feasible. Extracting meaning from this data is computationally intensive and expensive, limiting adoption of edge AI to a few high-value applications. After years of research by leaders in computer vision and machine learning we have developed technology that is two to…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Fondée en | 2017 |
| Spécialités | artificial intelligencemachine learningcomputer visionautonomous vehiclesIoTembedded systemssmart camerassensor fusionautonomous vehiclesintelligent transportation systems |
| Offres sur Jobsy | 8 |
| Voir la page |
We are looking for a highly passionate, self-driven, hand-on and analytical product manager who pushes the boundaries of what is possible.
Our Company
Invision AI is building a universal AI platform for computer vision applications. Powered by a unique multi-camera stack that generates high-integrity 3D digital twins of dynamic environments, our technology powers disruptive, market-leading solutions in intelligent infrastructure and global
Transportation.
The Role
We are looking for a Senior Technical Product Manager to take complete ownership of our flagship Vehicle Occupancy Detection (iVOD) product—a high-precision system that consistently outperforms global competitors in independent testing.
You will own the complete product lifecycle from end to end, bridging high-level strategy with physical hardware selection, edge software deployment, and hands-on client delivery.
If you thrive at the intersection of complex hardware, edge AI, and field execution—and love the challenge of building real-world mechatronic systems that shape smart transportation—keep reading.
What you will do
Product & Systems Architecture:
- Maintain and evolve the iVOD roadmap by fusing customer feedback with state-of-the-art 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, managing technical negotiations and procurement for hardware integration.
- Oversee execution across the entire system stack: hardware design, edge AI, cloud infrastructure, and user-facing web dashboards.
Project Delivery & Field Execution
- Serve as the main technical bridge for end-customers, driving clear communication, documentation, project scoping, and deployment planning.
- Lead field testing, roadside commissioning, and real-time operational feedback loops to continually elevate system performance in complex real-world environments.
- Develop training materials and onboard internal personnel and external partners on system installation and commissioning.
Team Leadership & Operations:
- Run daily stand-ups and monthly product reviews to align cross-functional engineering teams around execution targets.
- Serve as the internal and external go-to subject matter expert for all things iVOD, mentoring team members as the product line expands.
- Support executive leadership in drafting technical grant applications, progress reports, and RFP/RFI responses.
Requirements
Must Have
- 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 one of these domains: 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)
Bonus Skills
- 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 (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 (pytorch, tensorflow, Keras, etc), data and cloud tools (AWS, dvc, etc)
- Previous exposure to simulation, visualization and graphics rendering tools (e.g. Unreal Engine, CARLA or equivalents)
- User Experience Focused and ability to ensure they get the results they need in product
- Comfortable driving vehicles in Canada (Ontario G license) and internationally
Benefits
- A Mission that Matters: The opportunity to work on projects that make the world safer and greener
- Excellence: A culture of very high technical standards where quality engineering is valued over quick hacks
- Technical Challenge: A wide variety of technology and tasks, including hardware selection, distributed and edge computing, ML, real-time processing, and computer vision
- Growth Environment: Join an international team where your voice is heard and your impact is visible
- Compensation and benefits: Competitive salary package including equity, allowing you to share in the success you help build. Benefits: RRSP Plan, Health and Dental and 4 weeks holiday.
Journal
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