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Salary
≈ $49k – $105k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Headquartered in Singapore, LionsBot is a smart robotics company specializing in autonomous floor-cleaning solutions for the commercial cleaning industry. The firm develops and manufactures AI-driven cleaning robots powered by its proprietary cloud operating system to automate large-scale sanitation across commercial and industrial facilities. Combining hardware engineering with intelligent software, its technology helps facility operators improve cleaning efficiency, optimize workflows, and support workplace health standards.

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.

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