Description

You will architect and implement real-time robotic control loops in Python with deterministic performance.

This role is on-site.

Responsibilities

• Extend and optimize CPython internals, including GIL modeling, garbage collector zones, and 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, and CAN buses while coordinating with RTOS environments like FreeRTOS and Zephyr.

Required Skills

• 8-12 years total software engineering experience, with 6+ years in robotics-focused Python development.
• Proven track record designing, deploying, and controlling real robots such as drones, manipulators, or autonomous vehicles.
• Strong expertise in ROS2, including DDS tuning and custom nodes, plus simulation frameworks like Isaac, Mujoco, or PyBullet.
• Experience writing or modifying firmware for ARM/RISC-V architectures.
• Strong background in safety-critical systems engineering and formal verification using TLA+ or SMV.
• Hands-on development of digital twins with near real-time synchronization.
• Expertise in Python, Cython, PyO3, and RTOS concepts.

Preferred Skills

• Familiarity with blockchain or edge-computing architectures for robotics fleets.

Key Skills

Education

Any Graduate