Tasks:
- * Build task orchestration and state management modules
- * Deliver robot applications from design through production
- * Develop and maintain embodied agent framework
- * Implement agent observability and diagnostics
- * Improve reliability, recovery, and runtime performance
- * Integrate LLM, VLM, and VLA models
- * Package robot capabilities as reusable tools and skills
Perks/Benefits:
Skills/Tech stack required:
[Asynchronous execution] [Automated testing] [Behavior Trees] [C++] [Context Management] [DAG Workflows] [Data replay] [Debugging] [Distributed tracing] [Event Driven] [Event-driven architecture] [Framework development] [Inter-process Communication] [Linux system] [Linux System Programming] [LLM] [Logging] [Memory Management] [Metrics] [Middleware] [Multithreading] [Performance regression] [Performance regression testing] [Process communication] [Python] [Regression testing] [ROS 2] [State machines] [State management] [Structured outputs] [System programming] [Tool-Calling] [VLA] [VLM]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[AI Agent Framework Engineer] [Engineer] [Framework Engineer] [Robotics Software Engineer] [Software Engineer]