Lead, Shared Autonomy & Embodied Control

Study safe embodied interaction

You will define how human intent and machine autonomy can share authority, handle uncertainty, and preserve clear human control in embodied systems.

What you will own

• Task-level interfaces between neural-intent research and embodied systems
• Human-supervised interaction, uncertainty handling, confirmation, and takeover principles
• Contextual decision-making across intent, state, task history, and feedback
• Staged evaluation and clear human–machine responsibility boundaries

What we value

• Deep experience in robotics, control, artificial intelligence, or autonomous systems
• Familiarity with robotics or human–machine interaction systems
• Research or engineering depth in shared control or embodied intelligence
• Understanding of probabilistic intent, uncertainty propagation, and risk-aware decisions
• The ability to turn research methods into stable and verifiable systems

Additional strengths

• Work in shared autonomy, assistive robotics, teleoperation, or human–robot collaboration
• Experience with human-supervised physical or digital systems
• Familiarity with multimodal or embodied AI research
• Experience with safety-critical control, formal verification, or fail-safe mechanisms

Working at WABO

• Help define an emerging shared-autonomy direction from an early stage
• Explore how neural-intent research can inform physical-system interaction
• Work across human context, safety, and responsible system design
• Team-building scope and long-term incentives for exceptional contributors

Apply

Send a concise introduction and one system where you balanced human intent, machine autonomy, and safety under uncertainty.