Senior Software Engineer, Embedded Vision Systems

Remote within Canada (Toronto-based engineering team) · Full-time, permanent

About the company

Our client is a VC-backed agtech company using real-time computer vision and AI to help growers produce more fruit and vegetables on existing farmland, more sustainably. Its system runs in the field on a single embedded compute module, works offline first, and ships to a remote fleet that is only online some of the time.

The role

As a senior engineer on a small, multidisciplinary team, you will work across the embedded, cloud and mobile parts of the stack, with the embedded vision system as your core focus.

What you will do

• Own the capture and inference pipeline, from multi-camera video through the models to storage, with no dropped frames.
• Run demanding vision models in real time within fixed power and thermal limits.
• Bring up cameras and sensors at the driver level.
• Turn sensor data into accurate per-tree geolocation, validated against surveyed ground truth.
• Make field issues reproducible at a desk through replays, synthetic sources, on-device CI and regression tests.
• Build self-diagnostics for frame drops, latency, thermal and power headroom, sensor health and storage.
• Take the next-generation hardware platform from definition to shipped product.
• Ship reliably to a remote, intermittently connected fleet.

Must have

• Strong systems programming in C, C++ or Rust, including where application code meets drivers and hardware.
• Real-time streaming or vision pipeline experience: buffer management, latency, backpressure and zero-copy memory.
• Hands-on experience deploying vision models to edge devices.
• Low-level camera and sensor work: image sensors, capture drivers, timing and synchronization, I2C/SPI/GPIO.
• Comfort with embedded Linux, including kernel work, containers and cross-compilation.
• Experience making embedded or distributed systems observable with metrics, logs and dashboards.
• Self-direction in a small, distributed team.

Nice to have

• ROS or GStreamer, including custom elements.
• Embedded vision processors and neural network accelerators, with profiling experience.
• Kalman filtering, multi-object tracking, geometric state estimation or photogrammetry.
• Telemetry pipelines, time-series metrics and automated reporting.
• A background in agriculture, robotics, autonomy or a similar field.

Compensation and benefits

$135K–$175K CAD base, plus a competitive benefits package, team events and retreats, and real influence as an early employee.