Tile Grouting Robotics Software Engineer

About Fabrica AI

Fabrica AI specializes in the development of innovative robotics for the construction industry, notably creating an automated tile grouting robot that increases productivity by fivefold. With over 3 million USD in funding from notable investors like Hoxton Ventures, Credo Ventures, and leaders from Woh Hup and Cambridge University, the company is rapidly expanding its solution across major construction firms. Fabrica AI offers a dynamic, startup environment where your contributions have immediate, real-world impact.

Key Responsibilities

• Develop, refine, and sustain software modules for autonomous robotic control using the ROS2 framework, managing nodes, services, and actions.
• Support the robotic perception system by engineering end-to-end data pipelines for data acquisition, labeling, and processing, as well as aiding in machine learning model evaluation and training.
• Integrate AI and machine learning models into the robot's software, including model selection, customization, benchmarking, and deployment onto embedded devices.
• Investigate the latest AI methodologies applicable to robotics, such as object detection, semantic segmentation, and environment understanding.
• Perform precise calibration of robotic sensors, including cameras and LIDAR systems.
• Implement and manage embedded logic and inter-device communication using protocols such as CAN, I2C, and SPI, focusing on reliability and efficiency.
• Assess and include open-source software, SDKs, and APIs where they can improve system capabilities.
• Design comprehensive test strategies, encompassing unit, integration, and hardware-in-the-loop testing, ensuring overall system integrity.
• Efficiently identify software and firmware challenges, addressing fundamental causes rather than just symptoms.
• Create and maintain tools for building, testing, logging, and remote troubleshooting.
• Participate in interdisciplinary design and code reviews, and help develop internal documentation and engineering guidelines.
• When needed, contribute to hands-on assembly and integration of electronic components, as well as on-site system deployments in operational settings.
• Assist in mechanical prototyping using fabrication tools such as 3D printers and power tools.

Qualifications and Technical Skills

• Proficient in C++17 (or newer) for building performance-driven systems.
• Competent with Python for scripting, tooling, and managing ML workflows.
• Capable in embedded C development.
• Experienced in working with ROS2 and robotics simulation tools such as Gazebo.
• Skilled in using version control systems like Git and applying CI/CD best practices (e.g., Github Actions).

Preferred Qualifications

• Knowledge of deep learning frameworks (PyTorch, TensorFlow).
• Experience with computer vision libraries (e.g., OpenCV, Ultralytics).
• Familiar with cross-compilation for embedded targets (arm-none-eabi).
• Background in electronics is an advantage.

Culture and Work Environment

• Desire to work in a rapidly evolving startup, directly impacting product outcomes and engaging with real-world operations.
• Ability to thrive amidst ambiguity, independently navigating shifting priorities.
• Analytical thinker, driven by fundamental principles and confident in decision-making under uncertainty.
• Self-starter with a demonstrable passion for technology, shown through personal or open-source projects.
• Keen interest in robotics and enthusiasm for hands-on, cross-domain learning.
• Curious and adaptable in the face of new problems and eager to expand knowledge beyond traditional boundaries.