Design multi-agent pathfinding algorithms to avoid fleet deadlocks, build low-latency Robot-to-Cloud and Robot-to-Robot communication protocols, and develop cloud dashboards for fleet monitoring and teleoperation handoffs. Work requires expertise in distributed systems, IoT protocols, fleet management, operations research, and graph algorithms.
As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.
Responsibilities:
- Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
- Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
- Develop cloud dashboards for fleet monitoring and teleoperation handoffs.
Required Skills:
- Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
- Experience with fleet management or warehouse automation software.
- Strong background in operations research and graph algorithms.
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
