Key Responsibilities
Architect and implement real-time 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 cross-functional research teams in autonomy, perception, and embedded engineering.
Required Qualifications
Bachelor's or Master's degree in Computer Science, Robotics, or Electrical Engineering (PhD preferred).
8-12 years total experience in software engineering, with at least 6+ years in robotics-focused Python development.
Proven track record in designing, deploying, and controlling real robots (drones, manipulators, autonomous vehicles).
Strong expertise in ROS2 (DDS tuning, custom nodes) and robotic simulation frameworks (Isaac, Mujoco, PyBullet).
Experience writing or modifying firmware for ARM/RISC-V and coordinating with Python runtime.
Strong background in safety-critical systems engineering and formal verification (TLA+, SMV).
Contributions to open-source robotics or Python runtime projects.
Experience building motion planning algorithms in pure Python.
Hands-on development of digital twins with near real-time sync (< 5ms loop).
Familiarity with blockchain or edge-computing architectures for robotics fleets.
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