Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.
We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology.
Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view
Core responsibilities:
Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework, including nodes, topics, services and actions
Support the robot perception stack by building and maintaining data pipelines for collection, labelling, and preprocessing, and by assisting in the training and evaluation of AI models.
Develop and integrate AI/ML models into the robot software stack, including model selection, fine-tuning, performance benchmarking, and deployment onto edge hardware.
Research and evaluate other state-of-the-art AI techniques relevant to robotics, including object detection, semantic segmentation, depth estimation, and scene understanding.
Perform accurate calibration of on-robot sensors including cameras and LIDAR.
Design, implement and maintain firmware logic, architecture and device-to-device communication using standard protocol (CAN, I2C, SPI) with a focus on reliability, latency and power constraints.
Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.
Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.
Systematically diagnose and resolve software and firmware issues across the stack, implementing root-cause fixes rather than symptomatic patches.
Develop and maintain tooling for build systems, testing, logging and remote diagnostics.
Participate in cross-functional design reviews, code reviews and contribute to internal documentation and engineering standards.
You may also be involved in:
Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration
Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.
Fabrication of mechanical prototypes using tools including 3D printers, drills, angle grinders etc.
Technical Requirements:
Proficiency in C++17 or later for performance-critical systems.
Proficiency in Python for scripting, tooling, ML pipelines.
Experience with bare-metal embedded development in C.
Familiarity with robotics simulation environments like Gazebo for development and validation.
Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and common computer vision libraries (e.g. OpenCV, Ultralytics).
Nice to Haves
Experience with version control (Git) and collaborative development workflows
Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).
Familiarity with software design principles and CI/CD pipelines (eg Github Actions)
Experience with electronics is a plus.
Values/ Culture:
Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients
Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly
Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data
Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work
Excited about robotics and similar technical areas and exploring them in work and other projects
Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations
Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.
Click on the link above for more information, send your CV to careers@fabrica.ai to apply.
