Jobs in Richmond

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Within 25 km of Richmond

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Swim Recruiting

Edge Engineer

Vancouver, BC, Canada

$120,000 to $150,000 CAD / year · Full-time

Within 25 km of Richmond · About 12.5 km from the city centre

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Dec 6, 2026
Posted: Nov 6, 2026

Original job description

Join a small, high-impact engineering team building AI-powered computer vision infrastructure that's already deployed and running in live retail environments. This is a great opportunity to own meaningful, technically challenging work on the cutting edge of edge engineering, computer vision, and real-time business intelligence.

Take end-to-end ownership of our client’s edge stack, supporting the full on-device pipeline powering computer vision AI systems on high traffic live camera feeds.
You'd own a real system that is already in customers' stores, with clear and unsolved technical problems in front of you.
You'll be part of high impact team as our client enters an exciting period of growth. Your contributions matter immediately, and you will shape their technical direction.

What & Why:

A fast-growing retail AI company is looking for an Edge Engineer to own the on-device computer vision pipeline powering its in-store analytics platform. This hire is being made to deepen engineering capacity ahead of a significant multi-site expansion.

This position is hybrid 2 days on-site in Vancouver.

Who:

Our client is a small but proven technology company operating in the retail intelligence space, building edge AI infrastructure that runs entirely in-store on constrained hardware.

The team has a startup culture at its core - people here wear multiple hats, take ownership seriously, and move fast without sacrificing rigor.

You:

You will bring the following education, skills and experience to the role:

2+ years of hands-on experience deploying computer vision or inference workloads to production edge hardware (NVIDIA Jetson or comparable embedded/accelerator platforms strongly preferred)
Solid Python skills, including comfort with performance-sensitive, production-quality code
Practical experience with a production inference runtime such as TensorRT, ONNX Runtime, OpenVINO, or TFLite
Working knowledge of multi-object tracking - association algorithms, IoU matching, Kalman filtering, and real-world failure modes like occlusion and crowding
Demonstrated rigor around evaluation: you've owned a benchmark harness, managed labeled datasets, or built an accuracy regression process, and you understand that measurement quality matters as much as model quality
Startup mindset - comfortable owning problems, working with limited resources, and contributing beyond a narrow job description

Compensation:

$120,000 to $150,000.

Next Steps:

If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.

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More about this job

Responsibilities

Own and support the end-to-end on-device computer vision pipeline and edge stack powering the company’s in-store analytics platform. Improve and maintain production inference systems running on constrained hardware and high-traffic live camera feeds as the company expands to more sites.

Requirements

Requires at least two years of hands-on experience deploying computer vision or inference workloads to production edge hardware, with NVIDIA Jetson or comparable platforms preferred. Candidates should have strong Python skills, experience with a production inference runtime, practical multi-object tracking knowledge, rigorous evaluation experience, and a startup-oriented approach to ownership.

Skills

Edge Engineering
Computer Vision
Python
Production Inference
NVIDIA Jetson
Embedded Hardware
TensorRT
ONNX Runtime
OpenVINO
TFLite
Multi-Object Tracking
IoU Matching
Kalman Filtering
Benchmarking
Dataset Management
Accuracy Regression Testing

Visa sponsorship

Not detected in the job text

Keywords

Edge Engineering
Edge AI
Computer Vision
Python
NVIDIA Jetson
Embedded Hardware
Inference Workloads
TensorRT
ONNX Runtime
OpenVINO
TFLite
Multi-Object Tracking
Association Algorithms
IoU Matching
Kalman Filtering
Occlusion
Crowding
Benchmark Harness
Labeled Datasets
Accuracy Regression
Real-Time Business Intelligence
Retail Analytics
Live Camera Feeds
On-Device Pipeline
Production Deployment

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