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Research Engineer Robotics (Systems)

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Key skills for this role

ROS/ROS2

Architect & Own Real-Time Robotic Systems: Design and maintain real-time dexterous manipulation pipelines that integrate perception, planning, and control across multiple robotic platforms. Drive architectural decisions that enable rapid research iteration at scale
Lead Data Capture & Retargeting Infrastructure: Architect motion capture integration, novel hardware prototypes, and human demonstration data collection systems. Build scalable processing pipelines for large multimodal datasets that enable efficient model training and real2sim transfer
Drive ML-Systems Integration: Deploy and iterate on learned control policies (imitation learning, MPC, reinforcement learning) within full robotic systems. Partner with research teams to bridge the gap between algorithmic advances and real-world system performance
Optimize Performance & System Reliability: Own runtime performance, debug complex system behaviors across the stack, and develop interactive demos and benchmarks that demonstrate research progress
Set Technical Direction: Identify and drive cross-cutting technical improvements. Influence roadmap and priorities through deep system understanding and proactive problem identification
Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader team

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Bachelor's degree in Computer Science, Computer Engineering, Robotics, or related technical field (or equivalent practical experience)
5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings
Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning)
Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems

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