Software Engineer, Machine Vision

Monumentalis 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.

Were a growing team (about 70 team members) of mostly engineers and technicians coming from companies like Palantir Qualcomm Dyson Shopify Tesla 1X and Meta. Its 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 youll be able to work with an experienced founding team backed by top-tier investors.

You can read more on why we believeyou should spend your time working on construction and learn more aboutour visionandcompany.

About You and This Role

Were 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 were 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.

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 dont 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 youre new to robotics you might enjoyreading Boukes blog post on his experience joining Monumental as a software engineer. You might also enjoy seeing this video by Andreas Klinger of what our office environment looks like.

What youll 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-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.

What were looking for

• 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. Were not a research organization and emphasize shipping frequently and fast iteration loops

• A strong sense of ownership and motivation

Why Monumental

Joining Monumental means being at the forefront of a movement aimed at making significant strides in the construction industry. Here your work has the potential to impact not just the company but the future of how we build. If youre driven by innovation eager to tackle complex challenges and ready to make a tangible difference we want to hear from you.

Interested candidates should reach out to us at: - share with us the most interesting or challenging project youve worked on with your CV or portfolio were excited to learn about your journey and discuss how you can contribute to ours.

If you dont meet all the qualifications here but are excited about Monumental and feel youd 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.