We're building physical AI for housing — and unlike most of the field, our robots are already in production, fabricating real structures and generating real operational data every day across multiple factories.
We’re looking for a Robotics Software Developer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This is an early-career role for someone with strong fundamentals and hands-on robotics project experience who wants to develop it in production.
Why join us?
Purpose-Driven Work: Contribute to projects with significant social, economic, and environmental impact.
Growth Opportunities: Be part of a growth-stage startup with substantial upside and leadership potential.
Cutting-Edge Technology: Work on state-of-the-art robotics solutions at the intersection of construction and automation.
Collaborative Culture: Join a diverse, high-performing team committed to continuous learning and innovation.
What you'll do:
Build and maintain simulation scenes — set up and extend simulation environments and test scenarios that mirror our production cells.
Implement motion routines — develop and tune motion-planning and collision-checking behaviors in ROS 2 / MoveIt2 under the guidance of senior engineers.
Develop perception components — implement object detection, pose estimation, and point-cloud processing tasks for material handling and inspection.
Write clean, tested code — produce well-documented C++ and Python, backed by unit and integration tests.
Debug integration issues — help troubleshoot software–hardware issues alongside the robotics and hardware teams.
Participate in the team's practices — contribute to code reviews, agile ceremonies, and CI pipelines.
What you'll need to succeed:
- Degree in Computer Science, Robotics, Mechatronics, Electrical Engineering, or related fields (Masters/Ph.D. preferred).
Solid programming ability in C++ and/or Python.
Strong fundamentals in algorithms, data structures, and basic control concepts.
Ability to solve complex problems involving multi-disciplinary engineering concepts.
Hands-on experience with ROS or ROS 2 — through projects, internships, co-ops, or coursework.
Familiarity with at least one robotics simulator (Gazebo, Isaac Sim, MuJoCo, PyBullet, or similar).
Exposure to computer vision or perception concepts.
Eagerness to learn, take feedback, and work both independently and collaboratively in a fast-paced startup.
Willingness to work onsite at our R&D labs and production facilities in Edmonton and Calgary, Alberta.
An internship, co-op, competition team (e.g., robotics/autonomy), or a portfolio of robotics projects.
Experience with MoveIt2 or another motion-planning framework.
Familiarity with Isaac Sim / Omniverse or similar simulation tools.
Coursework, research, or side projects involving VLA models, LLMs, or machine learning for robotics.
Any exposure to industrial robots (KUKA, ABB, Fanuc) or sensor systems (cameras, depth sensors, force sensors, LiDAR).
DevOps basics — Docker, Git, CI/CD.
Preferred Skills:
Skills Required
- Degree in Computer Science, Robotics, Mechatronics, Electrical Engineering, or related field
- Solid programming ability in C++ and/or Python
- Strong fundamentals in algorithms, data structures, and basic control concepts
- Hands-on experience with ROS or ROS 2
- Familiarity with at least one robotics simulator (Gazebo, Isaac Sim, MuJoCo, PyBullet, or similar)
- Exposure to computer vision or perception concepts
- Willingness to work onsite at R&D labs and production facilities in Edmonton and Calgary, Alberta
- Ability to solve complex, multidisciplinary engineering problems and collaborate cross-functionally
- Eagerness to learn, take feedback, and work independently and collaboratively in a fast-paced startup
- Masters or Ph.D.
- Internship, co-op, competition team experience, or portfolio of robotics projects
- Experience with MoveIt2 or another motion-planning framework
- Familiarity with Isaac Sim / Omniverse or similar simulation tools
- Coursework, research, or side projects involving VLA models, LLMs, or machine learning for robotics
- Exposure to industrial robots (KUKA, ABB, Fanuc) or sensor systems (cameras, depth sensors, force sensors, LiDAR)
- DevOps basics such as Docker, Git, CI/CD
What We Do
#robotics #AI #construction #sustainability #advancedmanufacturing
