Architect and implement realtime robotic control loops in Python with deterministic performance (<1ms jitter). Extend and optimize CPython internals (GIL modeling, garbage collector zones, bytecode tracing) for robotics use cases. Build high-performance Python bridges using Cython, PyO3, and native extensions to interface with embedded systems. Develop and deploy control systems implementing PID, LQR, and MPC in production robotic applications. Engineer sensor fusion pipelines integrating IMU, LiDAR, and computer vision streams. Integrate Python with SPI, I2C, CAN buses and coordinate with RTOS (FreeRTOS, Zephyr) for real-time operation. Design safety-critical robotics software in compliance with ISO 26262, DO-178C, IEC 61508. Create failover logic, watchdogs, and fault injection frameworks to ensure resilience in deployed robots. Lead the development of digital twins, motion planning, and middleware for dynamic robot fleets. Collaborate with crossfunctional research teams in autonomy, perception, and embedded engineering.