Multi-Agent and Data Driven Planning and Controls Robotics Technologist
Tasks
- Apply machine learning based planning and control methods
- Build algorithms for coordination planning and control
- Contribute to flight grade software development and CI CD pipelines
- Develop computer vision based state estimation and control
- Develop multi agent robotic motion planning algorithms
- Develop simulation and parallelized simulators for ML autonomy
- Implement robot motion control software
- Integrate robotics middleware and robotics frameworks
- Perform hardware in the loop and software in the loop development
Perks/Benefits
- Childcare
- Dental insurance
- Flexible schedule
- Health insurance
- Learning opportunities
- Paid time off
- Parental leave
- Retirement plans
- Rideshare
- Vision insurance
Skills/Tech-stack
Agent autonomy | C++ | CI/CD | Computer Vision | DDS | Data Generation | Hardware-in-the-loop | Linux | Machine Learning | Motion Planning | Multi-Agent | Multi-agent autonomy | NVIDIA Tegra | Optimization | PX4 | Parallel Computing | Python | ROS | ROS2 | RViz | Raspberry Pi | Robotic Control | Robotic motion | Robotic motion planning | Robotics | Simulation | Software-in-the-loop | State Estimation | Synthetic Data Generation | Synthetic data | The Loop | Version control
Education
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