Senior Embedded Vision Engineer - Real-Time Edge AI

Vivid Machines; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Vivid Machines is seeking a Senior Engineer to tackle challenges across embedded, cloud, and mobile software stacks. You will design and implement robust, real-time vision pipelines spanning cameras, sensors, and edge devices.

You will own the capture and inference pipeline, optimize performance under fixed power and thermal budgets, bring up hardware, and collaborate with a multidisciplinary team to ship scalable solutions for field deployments.

Qualifications

• Experience with cameras and sensors at a low level (image sensors, capture drivers).
• Strong background in embedded and real-time software for edge devices.
• Proficiency with C/C++ and Rust in systems programming.

Responsibilities

• Own the capture and inference pipeline for multi-camera video from sensor to model to storage.
• Optimize vision models to run in real time on constrained hardware with fixed power/thermal budgets.
• Bring up cameras and sensors at the driver level.
• Turn sensor data into geometry and fusing vision with position and motion data.
• Collaborate with a multidisciplinary team to deliver scalable field-ready solutions.

Skills

C/C++

Rust

Embedded systems

Real-time systems

Vision pipelines

Tools

ROS

GStreamer

Job description

Vivid Machines is seeking a Senior Engineer to tackle challenges across embedded, cloud, and mobile software stacks. You will design and implement robust, real-time vision pipelines spanning cameras, sensors, and edge devices.

You will own the capture and inference pipeline, optimize performance under fixed power and thermal budgets, bring up hardware, and collaborate with a multidisciplinary team to ship scalable solutions for field deployments.