We’re looking for a software engineer to join our team. Someone with a passion and deep knowledge of both software engineering and modern machine vision. 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 3d structures that will be built, up to the supply chain, path planning, and inverse and forward kinematics of our robots.

Some of the type 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 characterizing 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 that hands them over to a separate software engineering team.

If you're new to robotics, you might enjoy reading Bouke's blog post on his experience joining Monumental as a software engineer .

• 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-inertial SLAM, or localization through fiducial markers) and ensuring we use the right sensors and logic to figure out where we are in world-space, using sensor fusion when required.
• Implement state-of-art machine vision algorithms for object detection, object localization, or quality control purposes.
• Implement and optimize 3d reconstruction and photogrammetry pipelines and workflows.
• Design and build tools that allow debugging, analysis, and performance evaluation of your algorithms.
• Bringing software engineering best practices to our team. You should be able to write production-level code that will stand on its own.
• Root cause analysis and general debugging skills whenever things fail.
• Taking full ownership of a project, going from idea to prototype to finished project.

• Deep understanding and experience with multiple hardware sensor systems such as LiDARs, IMUs, and (depth) cameras.
• Experience in developing, implementing, and testing mapping, localization and state estimation algorithms, such as (VI-)SLAM, VIO, ICP, and Kalman filters
• Ideally, some experience with real-time, deep learning based computer vision, e.g. with multi-object tracking systems
• Proven experience in software engineering, in e.g. C, C++, Python, Rust, or comparable languages.
• Software engineering skills and best practices. You use git for version control, know how to do unit tests or how to automate deployment of your code.
• A strong bias for action and output. We’re not a research organization and emphasize shipping frequently and fast iteration loops
• A strong sense of ownership and motivation

Interested? Get in touch with us: iwanttojoin@monumental.co , and tell us a bit about the most interesting or difficult project you’ve worked on to date.

If you don’t meet all the qualifications here but are excited about Monumental and feel you’d still be able to help us solve difficult problems, do get in touch. We are open to generalists with a demonstrated ability to focus on outcomes and get things done and are comfortable with you learning things as you go along.