Research Engineer Robotics (Systems)
Tasks
- Architect real time robotic systems
- Bridge research exploration to reliable deployment
- Build scalable multimodal data processing pipelines
- Debug system behavior across robotics stack
- Deploy and iterate learned control policies
- Design data collection protocols and build ML datasets
- Develop interactive demos and benchmarks
- Drive cross cutting technical improvements
- Integrate imitation learning MPC and reinforcement learning
- Integrate perception planning control pipelines
- Lead motion capture integration and data capture
- Mentor engineers and collaborate across teams
- Optimize runtime performance and system reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data Engineering | Ethical AI | Full Stack | Full-Stack Development | Imitation Learning | MPC | Machine Learning | Model-Predictive Control | Motion capture | Multimodal Data | Predictive control | ROS2 | Real Time | Real Time Robotic Control | Real-time Systems | Reinforcement Learning | Risk Assessment | Robotic Control | Robotics | Sim-to-Real | Sim-to-Real Transfer | Stack development | Time Systems
Education
Roles
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