We build smart technology to help fruit farmers optimize quality and yield.
Toronto, ON
Vivid Machines™ develops computer vision and machine learning technology to improve yield and product quality in fruit production. We help predict and manage yield by providing a clear view of tree-level data in real time. We also help diagnose pests, disease, and nutrient deficiencies through our vision system which is able to see early indications that would be invisible to the human eye.
Hybrid · Toronto
You will own the end-to-end software stack, including the control application, data models, and cloud services that connect field cameras to customer-facing tools. You will also be responsible for maintaining system reliability, security, and performance while collaborating with embedded and data teams.
Hybrid · Toronto
You will own the end-to-end Software Testing Life Cycle for web, mobile, backend, and hardware systems. This includes planning tests, writing Python automation, and collaborating with product teams to define clear acceptance criteria.
Hybrid · Toronto
You will design and develop robust software solutions for embedded vision systems, managing the entire capture and inference pipeline from sensor to storage. You will also collaborate with a multidisciplinary team to deploy real-time AI models on edge hardware while ensuring system observability and performance.
