AI Engineer - Task Planning and Orchestration, Embodied Agents (Mensch)
Tasks
- Build failure taxonomies
- Build state management for long horizon tasks
- Collaborate with foundation models perception manipulation and hardware teams
- Decompose tasks into executable steps
- Deploy reasoning layer on real robot
- Detect plan deviations and trigger replanning
- Develop embodied agent harness
- Evaluate task success in simulation and on hardware
- Execute steps in closed loop
- Implement long horizon planning with preconditions and success criteria
- Implement recovery and human escalation
- Implement sensor to action loop
- Integrate camera depth and proprioception interfaces
- Maintain world representation with objects affordances and task history
- Perform visual reasoning and grounding
- Verify execution against observations
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | CUDA | Closed Loop | Closed loop control | Computer Vision | Containerization | Docker | Embedded GPUs | Grounding | Language Models | Large Language Models | Linux | Loop Control | Object Detection | Planning | Python | ROS 2 | Reinforcement Learning | State management | Task decomposition | TensorRT | Vision Language Models | Vision-language
Education
Roles
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