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Invision AI

Edge AI vision software for IoT

Senior Systems Engineer - Edge Integration & Sensor Fusion

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, Canada

About the Job

Requirements

  • At least 5 years of relevant software, systems, Internet of Things, 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.
  • A solid understanding of networking fundamentals, including IP networking, communication protocols, remote access, and troubleshooting connectivity issues.
  • 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.
  • Comfort 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.

Responsibilities

  • 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 for LiDAR and 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 the 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.

Desired Qualifications

  • 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 Protocol Buffers, 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.

About the Company

Invision AI

Edge AI vision software for IoT

Invision AI provides software that runs AI-powered video analysis directly on edge devices for transportation and smart infrastructure. It creates 3-D awareness from a single camera and can connect multiple cameras into a collaborative mesh, enabling real-time situational awareness without needing cloud processing. The platform is trained in the cloud with client video data and then deployed to edge cameras via firmware updates or retrofitting on processors from partners like NXP and Ambarella. Its products include Vehicle Occupancy Detection (iVOD), Automatic Incident Detection (iAID), and Origin to Destination Tracking (iFlow) for real-time, cross-camera analytics across video, infrared, thermal, radar, and lidar data, aimed at improving safety, efficiency, and revenue recovery on transportation networks and smart infrastructure.

Company size
11-50
Company stage
Seed
Total funding
$1.2M
Headquarters
Toronto, Canada
Founded
2015

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