Tile Grouting Robots Senior Robotics Software Engineer

SGInnovate; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Fabrica AI in Singapore is seeking a software engineer to design and implement autonomous robot software using ROS2, C++17 and Python. You will contribute to perception pipelines, AI model integration and edge deployment, working closely with hardware teams.

You will also calibrate sensors such as cameras and LIDAR, implement firmware communication protocols, and participate in testing and cross-functional reviews. Occasional on-site work at live environments may be required.

Qualifications

• Proficiency in C++17 or later for performance-critical systems.
• Proficiency in Python for scripting, tooling, ML pipelines.
• Experience with embedded development in C.

Responsibilities

• Design, implement and maintain software modules for autonomous robot operation using ROS2.
• Support the robot perception stack by building data pipelines for collection, labelling and preprocessing.
• Develop and integrate AI/ML models into the robot software stack and deploy onto edge hardware.
• Research and evaluate AI techniques relevant to robotics (object detection, segmentation, depth estimation).
• Calibrate on-robot sensors including cameras and LIDAR.
• Design and maintain firmware logic and device-to-device communication (CAN, I2C, SPI).
• Evaluate third-party libraries, SDKs, and APIs where beneficial.
• Design and execute testing strategies (unit, integration, HIL).
• Diagnose and resolve software and firmware issues with root-cause fixes.
• Develop tooling for build systems, testing, logging and remote diagnostics.
• Participate in design reviews and internal documentation.

Skills

C++17

Python

Embedded C

ROS2

Git

Tools

Gazebo

OpenCV

Github Actions

Job description

This role is with Fabrica AI, a startup supported by SGInnovate.

Background

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 embedded development in C.
• Familiarity with robotics simulation environments like Gazebo for development and validation.
• Proficiency with ROS2
• Experience with version control (Git) and collaborative development workflows
• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

Nice to Haves

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and common computer vision libraries (e.g. OpenCV, Ultralytics).
• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).
• 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.