Senior Engineer, AI & Robotics
- Singapore
- Permanent
- Full-time
This is a unique opportunity to push the boundaries of AI-enabled physical autonomy and contribute directly to real-world robotic deployments.Responsibilities:Technology Exploration & Prototyping
- Scout, assess, and prototype cutting-edge AI technologies applicable to physical robotic platforms.
- Demonstrate solutions that meet operational use cases such as anomaly detection, security breach identification, and fire hazard recognition.
- Research and implement AI solutions for autonomous behavior coordination across multi-robot fleets.
- Evaluate and optimize integration into centralized fleet management systems.
- Identify and liaise with technology vendors offering AI-enabled robotic capabilities.
- Assess vendor products and technical specifications for compatibility and performance.
- Translate high-level use case needs into actionable technical requirements for vendors.
- Lead the technical design and development of AI-based robotic features and systems.
- Deliver robust, scalable, and production-ready software integrated with hardware platforms.
- Work closely with robotics engineers, system integrators, and project managers to ensure seamless rollout and field performance of the solution.
- Act as the AI technical lead for internal and external stakeholders throughout the development lifecycle
- Bachelor's or Master's degree in Computer Science, Robotics, AI, or related field.
- 5+ years of experience in AI development, with at least 2 years in robotics or edge AI applications.
- Proven experience in computer vision, machine learning, and sensor fusion.
- Hands-on experience with technologies such as YOLO, OpenCV, TensorFlow, PyTorch, ROS (Robot Operating System), and NVIDIA Jetson platforms.
- Strong understanding of robot navigation algorithms
- Strong understanding of multi-agent systems or autonomous behavior algorithms.
- Demonstrated ability to evaluate and integrate third-party AI or robotics SDKs/APIs.
- Excellent communication and documentation skills to interface with technical and non-technical stakeholders.
- Experience with inspection or concierge robots in real-world deployments.
- Prior experience with VLM-based technologies
- Prior experience working with robotic fleet management platforms or robotics middleware framework
- Familiarity with safety and compliance use cases in security and facilities management domains.