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Semiconductor Engineering in Austin is building a robotics research lab focused on the science of integration across learning, control, and planning in real robotic systems.
The role centers on control, optimization, and safety as the foundation for deployable embodied AI, developing real-time control and safety-critical systems and integrating them with learning-based components in hierarchical architectures.
We are building a new robotics research lab in Austin focused on the science of integration—understanding how different paradigms (learning, control, planning) work together in real robotic systems, and how they map onto heterogeneous compute.
This role focuses on control, optimization, and safety as the foundation of deployable embodied AI. You will develop real-time control and safety-critical systems, and integrate them with learning-based components in hierarchical architectures. A key focus is ensuring that behavior can be bounded, verified, and enforced across the system.