Senior Software Engineer
RECYCLEYE
Senior Software Engineer
RECYCLEYE
AI-powered waste sorting robotics and analytics
At Recycleye we are revolutionising Recycling. Our ground-breaking AI powers robots and optical sorters making waste sorting faster, cleaner and more profitable. With our advanced tech, the previously unsortable can now be sorted efficiently and effectively. Founded in 2019, we have grown rapidly ever since, with installations at leading waste management companies across Europe and the US. We are on a mission to help our clients produce higher quality outputs – turning the world’s waste into valuable resource. And our work has never been needed more. Worldwide only 9% of plastic waste is being recycled – every day, we are proud to work on making a meaningful difference towards a sustainable future.
Part of a larger product team we're a small software group building the software control systems for waste separation systems deployed in Material Recovery Facilities (MRFs). Our stack spans low-latency Go services, GStreamer video pipelines, real-time Python data processing, Azure infrastructure, Linux systems and Python web applications. We're looking for a developer skilled in either Python or Go who is comfortable working on the entire stack even when that means learning new things.
You'll own problems end to end - from kernel-level performance tuning to the web dashboard a client uses, to the operator interface of our industrial units. Priorities change, deadlines are often tight but the work is varied and always interesting.
What We're Looking For
What We Offer
Recycleye provides AI-powered waste-sorting systems for Material Recovery Facilities (MRFs), retrofitting existing plants with three main products: Recycleye Vision, an AI computer-vision system that classifies items on conveyors by material, object, or brand; Recycleye Robotics, a robotic picker that sorts continuously; and Recycleye Analytics, a real-time dashboard for plant-wide decision making. The Vision system guides sorting by analyzing images at high speed, while the Robotics picker carries out the physical separation, and Analytics turns the data into actionable insights to optimize operations. The company differentiates itself with highly detailed recognition (including brands) and a tightly integrated, retrofit-capable stack that combines vision, robotics, and analytics to boost material purity and throughput. Its goal is to increase profitability and efficiency for waste operators, reduce labor costs, and advance a circular economy.
Explore more opportunities at RECYCLEYE