Intelligent Systems Engineer
This is a hands-on role that blends applied research with production-grade engineering.
* Develop and integrate task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.
* Design and implement short and long-horizon planning systems for real-world robotic applications.
* Prototype and deploy scalable policy architectures that operate under tight latency and compute constraints at the Edge.
The ideal candidate will have deep expertise in robot policies, task planning, computer vision, and decision-making under uncertainty. You will work alongside experts in hardware, embedded systems, and AI software to develop robust and efficient AI-based robot policies.
This role requires strong technical skills, including:
* 6+ years of experience in AI, robotics, or computer vision.
* Bachelor's degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
* Proficient in Python, with practical experience using ROS, PyTorch, or TensorFlow.
* Comfortable working with real-world sensor data (e.g., ToF, vision, IMU) and simulation tools like Gazebo, Isaac Sim, MuJoCo, OpenAI Gym or Unreal.
You will be part of a team reimagining how machines perceive, decide, and act in the world around them. We are developing intelligent systems that bring together best-in-class sensing with real-time AI.