Senior Robotics Scheduling - San Jose
13 hours ago

Job description
Company DescriptionBrighture Inc. is building a next-generation industrial AMR/AGV robotics system for real-world warehouse and factory deployment. Unlike research-only robotics roles, our focus is on scalable, production-grade autonomous mobile robot systems operating in complex industrial environments.
We are currently developing our core robotics software stack from 0 to 1, including navigation, fleet scheduling, and central control systems.
Role DescriptionWe are urgently hiring a Senior Robotics Scheduling / Fleet Management Engineer (System Architecture) to design and own the core multi-robot dispatching and fleet coordination system for our AMR/AGV platform.
This is a high-impact, system-level role focused on real robot deployment, large-scale fleet coordination, and industrial-grade scheduling architecture — not a research-only or simulation-only position.
Key ResponsibilitiesDesign and develop multi-robot scheduling and fleet management systems (AMR/AGV)
Architect central control and dispatch systems for real-time robot coordination
Implement task allocation, traffic management, and conflict resolution logic
Solve congestion, deadlock, and high-density multi-robot coordination challenges
Build scalable fleet orchestration systems for industrial environments
Integrate scheduling system with navigation, control, WMS/WCS, and business systems
Optimize system robustness, latency, and large-scale deployment performance
Work closely with navigation, SLAM, and embedded teams for full-stack integration
Qualifications
Strong experience in multi-robot systems, AMR/AGV, or robotics software architecture
Experience with fleet management, dispatching systems, or task scheduling logic
Solid programming skills in C++ and/or Python (Linux environment)
Understanding of system architecture and distributed robotic systems
Experience with real robot deployment (not simulation-only)
Familiarity with ROS/ROS2 and robotics system integration
Ability to build systems from 0 to 1 in a fast-paced startup environment
Strongly Preferred
Experience with MAPF (Multi-Agent Path Finding)
Task allocation / auction-based scheduling algorithms
Warehouse robotics / industrial AMR systems
Traffic management & deadlock resolution
Fleet orchestration platforms or WCS/WMS integration
High-concurrency or real-time distributed systems
Experience in companies like warehouse robotics, logistics robotics, or industrial automation
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