Role Purpose:
Covers the full perception stack: sensor calibration and multi-sensor processing, and the vision models that run on the robot and in our data pipeline.
A hands-on role on a small team. The exact scope is shaped around your strengths at onboarding, with room to grow into technical ownership of the stack.
Key Responsibilities:
Sensor calibration across depth, 3D LiDAR, RGB, ToF and sonar, including on-field calibration.
Multi-sensor processing and fusion, and keeping the pointcloud pipeline stable and inside its CPU budget.
Onboard models: detection and segmentation, including zone proposals on the map.
Offboard models: auto-labelling, data mining and synthetic data generation.
Research into newer models: vision-language models, monocular depth, and 3D reconstruction / world modelling for simulation and synthetic data.
Data pipeline and model lifecycle: dataset and model versioning, experiment tracking, and gated model OTA.
Automated testing: benchmarks and software-in-the-loop regression as a release gate.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics or a related field.
Minimum 4 years in perception or computer vision for a real product, with strong Python and PyTorch, plus C++ for onboard code.
Required: hands-on experience on both sides – sensor processing (calibration, pointclouds, depth or LiDAR) and training vision models on your own collected data. One side only is not enough for this role.
Deployed models to embedded compute (OpenVINO, TensorRT, ONNX, RKNN, Hailo or similar). ROS 2 experience is a strong plus.
Skills Required
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field
- At least 4 years of perception or computer vision experience on a real product
- Strong Python and PyTorch skills
- C++ experience for onboard code
- Hands-on experience with sensor processing, including calibration, point clouds, depth, or LiDAR
- Experience training vision models using personally collected data
- Experience deploying models to embedded compute using OpenVINO, TensorRT, ONNX, RKNN, Hailo, or similar technologies
- ROS 2 experience
What We Do
Founded in 2018, LionsBot is a Singapore-headquartered smart robotics company providing deep technology solutions to the commercial cleaning industry. LionsBot has created a range of autonomous floor-cleaning machines designed and built in Singapore and equipped with LionsOS, its proprietary cloud operating system. The company’s first robot, the LeoBot, was awarded the prestigious Interclean Amsterdam Innovation Award in 2020 – the first Asian company to win this coveted prize. LionsOS was awarded the European Cleaning & Hygiene Award for technological innovation of the year in 2022 and the prestigious IF design award in 2023. The R3 Vac was awarded the Red Dot award – one of the world’s largest design competitions. Today, LionsBot has over 1,700 cleaning robots in 30 countries and counting across Europe, the US and Asia, with subsidiaries in India, the US and Netherlands.
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