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Salary
≈ $46k – $122k per year (Estimated)
Location
In office (Amsterdam)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Dec 19, 2025. Monumental scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Monumental develops construction robots that lay bricks autonomously on building sites, with the aim of making well-built homes more affordable. Its system is already used on sites in the Netherlands, and the company is hiring founding robot operators in San Antonio, Texas and engineers and operations managers in Amsterdam and Groningen. The company is headquartered in Amsterdam, Netherlands.

Monumental is automating on-site construction with robotics and software. Our mission is to make construction software-defined and autonomous - a future where beautiful, bespoke buildings go up in a single day, with minimal labour.

We're a growing team of engineers, operators and technicians from companies like Palantir, Qualcomm, Dyson, Shopify, Tesla, Meta and Google DeepMind. It's still the early days of building the company, and this is a chance to make an outsized impact on a problem that matters. From day one, you’ll be working with an experienced founding team, backed by a $32M Series B led by Khosla Ventures and Plural.

Monumental is based in the city centre of Amsterdam, in a beautiful facility with an fully equipped workshop and robot testing floor. We build the whole stack in-house - hardware and software, we're explicitly not a hybrid or remote-first company - you can't build robots or walls from home, so we're onsite five days a week.

Read more on why we believe you should spend your time working on construction, and learn about our vision and company. You might enjoy our YouTube Channel, Based in Europe’s film on how we’re fixing Europe’s housing shortage, or this video by Andreas Klinger of what our office looks like.

About the role

We’re looking for software engineers with deep knowledge of software engineering and controls engineering 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.

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.

Some of the types of challenges you might be working on:

  • Designing and modeling a localization and control system for our autonomous ground vehicles that can move around a construction site

  • Designing or optimizing specific control loops, e.g. for mortar flow control through different sensors (e.g. a load cell, or time-of-flight sensors)

  • Design and explore adding a new degree of freedom to the system

  • Implementing production-level code at whatever level makes sense (embedded firmware in C++, or our application layer in Rust) necessary to bring your algorithms to life.

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. You might enjoy reading Bouke's 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 you'll do

  • Design and implementation of controls algorithms, both prototype quality for early experiments and production quality for real-world use. We expect you to write C, C++, Rust or Python code, not doing simulations in Matlab.

  • Design and implement localization algorithms (e.g., visual-inertial SLAM) and ensure we use the right sensors and logic to figure out where we are in world-space, using sensor fusion when required.

  • 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 we’re looking for

  • Experience implementing algorithms for the calibration and motion control, and path planning of complex robotic systems.

  • Practical and theoretical knowledge on modelling, signal processing, motion planning, sensor fusion, collision avoidance.

  • Industry experience building and deploying production systems in 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.

  • Basic familiarity with Linux systems and conventions. E.g., you’re comfortable SHH’ing into other machines to figure out why something isn't working.

  • Experience in troubleshooting issues and conducting root cause analysis.

  • Preferred experience in building prototypes in a zero-to-one environment and/or top student teams.

  • B.Sc. in Computer Science, Mechanical-, Mechatronics-, Controls System Engineering or equivalent.

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 you're driven by innovation, eager to tackle complex challenges, and ready to make a tangible difference, we want to hear from you.

For open applications (where you don’t see an exact role match), please reach out to us at: [email protected] - share with us the most interesting or challenging project you’ve worked on, why you want to join and your CV or portfolio.

Unfortunately we do not currently support internships.

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 welcome generalists who focus on outcomes and are eager to learn on the job.

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