Robotics Software Developer

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.

• 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. 

• 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. 

Preferred Skills: 

• 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.