Software Engineer, Machine Vision

Software Engineer, Machine Vision Monumental http://monumental.co/ is automating on-site construction with robotics and software. Our mission is to make construction primarily software-defined and work towards a future where beautiful, bespoke buildings are built within a single day with minimal labour. We’re a growing team (about 100 team members) of mostly engineers and technicians, coming from companies like Palantir, Qualcomm, Dyson, Shopify, Tesla, Meta and 1X. It’s still the early days of building the company, and this is a unique opportunity to be an early employee in a high-growth, high-ambition startup environment. From Day 1, you’ll be able to work with an experienced founding team backed by top-tier investors. Monumental is based near Artis zoo in the Plantage, in the city center of Amsterdam. We have a beautiful office with an in-house workshop and robot testing facility. We’re explicitly not a hybrid or remote-first company: we enjoy collaborating 5 days a week at the office. You can read more on why we believe you should spend your time working on construction https://www.monumental.co/why, and learn more about our vision https://www.monumental.co/our-vision and company https://www.monumental.co/about. You might also enjoy seeing this video by Andreas Klinger of what our office environment looks like https://www.youtube.com/watch?v=DOo8n19XEns. About You and This Role We’re looking for software engineers with deep knowledge of software engineering and modern machine vision to join our team. Help us bring our robots to life and join our mission to bring automation to the construction industry to create affordable, beautiful, high-quality housing for everyone. At Monumental, we’re building an operating system to make on-site construction possible with robotics. Our software stack allows us to do everything from 3D reconstruction (through photogrammetry) of a construction site, design of 3D structures that will be built, supply chain, path planning, and inverse/forward kinematics of our robots. You can read about how we control robots with TypeScript in this post by our CTO, Sebastiaan. https://buildmonumental.substack.com/p/plans-as-data Some of the types of challenges you might be working on: Developing algorithms for localization, mapping, calibration, and state estimation using state-of-the-art techniques such as visual-inertial SLAM or through fiducial markers, allowing us to drive our autonomous vehicles in the ever-changing environment of a construction site Designing machine vision systems that can judge the quality of bricks, mortar, or other construction objects and that can run in production Working with our software team to build a production-level system that ingests sensor data, runs your algorithms, and interfaces with our software stack Measuring the performance of our sensing system and improving it, including characterising the sources of various inaccuracies and deficiencies that we might encounter. Implementing robust, production-level code that can bring your algorithms to life. You own your projects from start to finish and don’t approach problems like a researcher who hands them over to a separate software engineering team. Help us bring our robots to life and join our mission to bring automation to the construction industry to create affordable, beautiful, high-quality housing for everyone. If you're new to robotics, you might enjoy reading Bouke's blog post on his experience joining Monumental as a software engineer https://bou.ke/blog/robotics/. What you'll be responsible for - Design and implementation of machine vision algorithms, both prototype quality for early experiments and production quality for real-world use. - When your prototypes work, being able to convert them into robust production quality code. You have proven software engineering experience beyond just doing things in a Jupyter notebook. - Design and implement novel localization algorithms (e.g., visual-ine ... (truncated, view full listing at source)