Job Title: Software Engineer, Machine Vision
Location: Amsterdam
Employment Type: Full-time
Location Type: On-site
Department: Software Engineering

Overview

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 to the design of 3D structures, supply chain management, path planning, and inverse/forward kinematics of our robots.

Responsibilities

• Design and implement machine vision algorithms, both prototype quality for early experiments and production quality for real-world use.
• Convert successful prototypes into robust production quality code.
• Design and implement novel localization algorithms (e.g., visual-inertial SLAM, localization through fiducial markers).
• Implement state-of-the-art machine vision algorithms for object detection, localization, or quality control.
• Optimize 3D reconstruction and photogrammetry pipelines and workflows.
• Build tools for debugging, analysis, and performance evaluation of algorithms.
• Apply software engineering best practices and write production-level code.
• Conduct root cause analysis and debugging when issues arise.
• Take full ownership of projects from idea to prototype to finished product.

Qualifications

• 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 (e.g., (VI-)SLAM, VIO, ICP, Kalman filters).
• Ideally, some experience with real-time, deep learning-based computer vision (e.g., multi-object tracking systems).
• Proven experience in software engineering with languages such as C, C++, Python, Rust, or comparable.
• Familiarity with software engineering skills and best practices, including version control with git, unit testing, and automated deployment.
• A strong bias for action and output, emphasizing frequent shipping and fast iteration loops.
• A strong sense of ownership and motivation.