Posted last month
Senior Systems Engineer - Edge Integration & Sensor Fusion
@ Invision AI
Toronto, Ontario
Overview
Invision AI is hiring a Senior Systems Engineer to integrate sensor systems on Linux edge computers, implement LiDAR and camera signal processing, own device connectivity and monitoring, and carry systems through deployment and customer delivery. The role is full-time in downtown Toronto and includes periodic field work.
Responsibilities:
- Develop and troubleshoot C++ software on Linux-based devices
- Implement and maintain LiDAR and camera signal processing algorithms
- Diagnose networking and device-connectivity issues
- Prepare, validate, and package hardware units before shipment
- Support customers and participate in periodic field work
Requirements summary:
- 5+ years of software, systems, IoT, embedded, or field engineering experience
- Strong C++ development skills
- Strong Linux systems knowledge
- Solid networking fundamentals and remote access troubleshooting
- Hands-on hardware and software integration testing
- Willingness to perform periodic field work
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-09-30
- First seen by our source
- 2026-10-16
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Engineering |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Travel | ground: moderate |
| Work setting | Office, Client sites |
| Position | Sitting and standing |
| Physical demands | physical moderate · computer high |
| Languages | English |
| Perks mentioned | Retirement plan, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Invision AI
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
See And Understand The World
Full company description
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.
- LinkedIn followers
- 5,480
- People associated on LinkedIn
- 13
- Reported office locations
- 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
- Business categories
- Facial Recognition
- Artificial Intelligence
- Software
- Enterprise Software
- Internet of Things
- Artificial Intelligence (AI)
- Computer Vision
- Autonomous Vehicles
- Machine Learning
- Other recorded names
- Invision AI
- Specialties
- 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
- Profile identifies a recruitment agency
- No
- Reported total investment
- 1,220,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
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…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 11-50 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2017 |
| Specialties | artificial intelligencemachine learningcomputer visionautonomous vehiclesIoTembedded systemssmart camerassensor fusionautonomous vehiclesintelligent transportation systems |
| Open jobs on Jobsy | 8 |
| View page |
We are looking for a Senior Systems Engineer for a hands-on role: integrating our sensor systems on Linux edge computers, implementing LiDAR and camera signal processing, owning device connectivity and monitoring, and seeing our systems through to deployment and customer delivery.
Our Company
Invision AI is reshaping Intelligent Infrastructure and Transportation. 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 with proven deployments across global markets. We provide real-world three-dimensional situational awareness - including 3-D detection, geo-localized tracking across sensors and sensor fusion. Our products include systems that accurately count passengers in free-flow vehicles under all weather conditions, automatic incident detection systems capable of identifying wrong-way drivers, stopped vehicles, and other traffic events in real time on roadways and railways.
The Role
This is a hands-on role spanning the full product: you'll write and optimize C++ on Linux-based devices, work with Go and Elixir services, and own networking, monitoring, hardware validation, and customer delivery.
We are looking for a tinkerer who enjoys seeing a product through, from code deployment to the customer's physical hands. This is not a narrowly focused software or IT role: you will implement and maintain features, help customers succeed, prepare hardware units for shipping, and periodically work in the field to test, deploy, and troubleshoot systems.
If you enjoy understanding how a complete product works and taking ownership across the full lifecycle of connected devices, keep reading.
Location
This is a full-time position based in Toronto downtown.
What You'll Do
- Develop, maintain, and troubleshoot C++ software running on Linux-based devices
- Implement new product features across device, connectivity, monitoring, and customer-facing workflows
- Implement and maintain signal processing algorithms (LIDAR, cameras)
- Diagnose and resolve networking, remote-access, and device-connectivity issues
- Maintain deployed systems and improve their reliability, observability, and performance
- Test hardware and software together to validate complete product behavior
- Prepare, configure, validate, and package hardware units before shipment to customers
- Support customers with technical questions, deployment needs, and issue resolution
- Participate in periodic field work for installation support, testing, deployment, and troubleshooting
- Build a deep understanding of our products and use that knowledge to improve the customer experience
- Write maintainable, well-tested code and clear technical documentation
- Participate in design reviews, code reviews, and technical planning
Requirements
Must Have
- 5+ years of relevant software, systems, IoT, embedded, or field engineering experience
- Experience with embedded or edge computing systems
- Strong C++ development skills
- Strong Linux systems knowledge, including deploying, configuring, and troubleshooting software on Linux-based devices
- Solid understanding of networking fundamentals, including IP networking, communication protocols, remote access, and troubleshooting connectivity issues
- The ability and interest to work across software, devices, hardware, connectivity, monitoring, and customer delivery
- Hands-on experience testing and troubleshooting hardware and software together
- A practical, detail-oriented approach to preparing and validating hardware units for shipment
- Strong problem-solving skills and the ability to understand complex products end to end
- Comfortable interacting directly with customers and translating technical issues into clear next steps
- Willingness to perform periodic field work for product deployments, testing, and troubleshooting
- Sound software engineering practices, including automated testing, code review, version control, and continuous integration
- Strong written and verbal communication skills
Bonus Skills
- Familiarity with device monitoring, observability, and remote fleet management
- Experience with Docker or other container technologies
- Experience with hardware integration, sensors, cameras, or industrial computers
- Familiarity with efficient serialization and communication protocols, such as protobuf, gRPC, MQTT, or NATS
- Experience with Elixir and Go
- Experience supporting technical products in customer or field environments
- Knowledge of computer vision, machine learning, or real-time video-processing systems
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 web development, 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.
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