Head of Engineering

Vivid Machines
Toronto, OntarioPosted 24 March 2026

Job Description

Head of Engineering Our vision at Vivid Machines is to revolutionize agricultural production to help solve food security globally. Our  initial  focus is on helping fruit and vegetable farmers improve the quality and quantity of produce they can generate on existing acreage while also improving sustainability. To do this, we are building  cutting-edge  technology, including real-time vision systems  and  state-of-the-art AI models , all while delivering a seamless experience to farmers. As  a  S e nior Engineer , you  will have the opportunity to work on c hallenging problems throughout our software stack , designing and developing  robust and scalable so lutions across  embedded systems , cloud,  mob ile ,  and  web .  You’ll  be collaborating  with our multidisciplinary team  to  create an amazing product and solve one of the world’s most important problems. Do you love solving complex problems, and want to see your work applied in real life? We are looking for people who are self-directed and driven by a desire for excellence as much as by curiosity and a desire to learn by solving previously unsolvable problems. Who we are and what we  do Vivid Machines  is an exciting venture-backed start-up.  We’re  building  cutting-edge  technology to help fruit and vegetable farmers with yield management, and detection of pests, diseases, and nutrient deficiencies.  We have an aggressive goal to bring our products to the world quickly. Our vision is to revolutionize agricultural production to help farmers solve food security globally! We  value  excellence, integrity, curiosity and passion, people who are open-minded then decisive, and the ability to iterate quickly and deliver.  We’re  innovators on a mission! W hat  w e’re  looking for The ideal candidate  can  architect and develop  scalable  solutions while considering performance, security, and stability .  Good knowledge of various disciplines  will  let you work  on software  that extend s  across our entire data pipeline,  from  our sensor hardware to the  front end . If you  are interested in  grow ing  in a multidisciplinary engineering environment, this is the position for you! Lead-level experience deploying and scaling a production-grade IoT or hardware-integrated product. Experience designing scalable backends ( likely GCP/AWS ) capable of handling high-volume raw data ingestion for ML training. The ability to "speak" across the stack—discussing FPGA/GPIO constraints with hardware engineers one hour and React/Flutter state management with web/mobile  devs  the next. Experience hiring, mentoring, or managing high-performing engineering teams. Experience working directly with product owners to translate customer needs (dashboards/analytics) into technical roadmaps. Experience with  MLOps —specifically the "Data Flywheel." This includes managing how data moves from the edge to the cloud, is labeled, trained, and redeployed back to the device. Experience with systems programming, a good understanding of memory safety, concurrency, and performance optimization for edge devices. F amiliarity with deploying vision models on constrained hardware (e.g., NVIDIA Jetson/Tegra platforms ). Bonus  p oints Specific experience with computer vision in "dirty" environments (variable lighting, dust, vibration) is a massive plus. Familiarity with  mobile development frameworks . Experience securing IoT devices, managing OTA (Over-the-Air) updates safely, and implementing end-to-end data encryption. Experience with high-performance analytical databases for local or cloud-side data processing. People from all backgrounds can succeed at Vivid Machines. We believe differences and diversity help build excellent businesses. Why do you want to work at Vivid Machines? As an early employee of a VC-backed company, you will have the opportunity to help shape the  company's  vision,  culture  and products, You can help build an amazing product in a company that plans ... (truncated, view full listing at source)
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