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Semiconductor Engineering in Austin is building a robotics research lab focused on the science of integration—learning, control, and planning for real robotic systems. The role centers on developing real-time control, safety-critical systems, and integrating them with learning-based components in hierarchical architectures, with emphasis on verifiable, bounded behavior across the system.
You will collaborate with researchers and engineers, prototype and test in hardware, and contribute to formal
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.