Senior Robotics Software Developer

Promise Robotics is pioneering Physical AI for homebuilding — a rapidly growing, venture-backed company bringing together AI, robotics, and manufacturing to help the homebuilding industry meet the growing demand for housing. Our robotic systems, built and operated inside AI-powered factories, give the industry the production capacity, consistency, and speed to build more high-quality homes than traditional methods allow. Our team spans AI researchers and roboticists to factory operators, technicians, and production teams — all building the future of homebuilding together.

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 Senior Robotics Software Developer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This is a senior IC role with architectural ownership and mentorship responsibility.

Why join us?

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Purpose-Driven Work: Contribute to projects with significant social, economic, and environmental impact.

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Growth Opportunities: Be part of a growth-stage startup with substantial upside and leadership potential.

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Cutting-Edge Technology: Work on state-of-the-art robotics solutions at the intersection of construction and automation.

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Collaborative Culture: Join a diverse, high-performing team committed to continuous learning and innovation.

What you'll do

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• Lead the development of robotic simulators — set up and extend simulation environments and test scenarios that mirror our production cells.
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• Lead the effort in motion planning and optimization — develop and optimize motion-planning and collision-checking behaviors in ROS 2 / MoveIt2.
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• Develop perception components — implement object detection, pose estimation, and point-cloud processing tasks for material handling and inspection.
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• Write clean, tested code — produce well-documented C++ and Python, backed by unit and integration tests.
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• Debug integration issues — help troubleshoot software–hardware issues alongside the robotics and hardware teams.
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• Set the engineering bar — define standards for architecture, testing, and code quality; lead code reviews; mentor junior and mid-level developers.

What you'll need to succeed

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• Degree in Computer Science, Robotics, Mechatronics, or related fields (Masters/Ph.D. preferred) plus 5+ years of relevant robotics software experience.
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• Expert-level C++ and Python, with a track record of shipping production-quality robotics software.
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• Strong fundamentals in algorithms, data structures, and basic control concepts.
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• Deep ROS 2 and MoveIt2 experience — motion planning, collision checking, and trajectory optimization (e.g., OMPL, CHOMP/STOMP/TrajOpt-style approaches).
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• Ability to solve complex problems involving multi-disciplinary engineering concepts.
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• Strong hands-on experience with a robotics simulator (Gazebo, Isaac Sim, MuJoCo, or similar) including physics simulation.
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• Exposure to computer vision or perception concepts.
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• Eagerness to learn, take feedback, and work both independently and collaboratively in a fast-paced startup.
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• Willingness to work onsite at our R&D labs and production facilities in Edmonton and Calgary, Alberta.

Preferred Skills

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• Experiential knowledge using Isaac Sim / Omniverse or similar simulation tools.
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• Applied or research experience with vision-language-action (VLA) models (e.g., OpenVLA, π0, RT-2-style) or LLM-based task and motion planning .
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• Industrial robot programming ( KUKA , ABB, or Fanuc) and familiarity with vendor sensor/communication interfaces.
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• Sensor systems: industrial cameras, depth sensors, LiDAR, force/torque sensors, laser range finders/projectors.
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• Digital-twin technologies for validation and predictive maintenance.
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• Machine learning / deep learning applied to robotics.
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• Working knowledge of CSA Z434 and ISO 10218-2 safety standards for industrial robot systems and cell integration.
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• Experience in a fast-paced startup or scaling deep-tech environment.