Senior/Staff Embedded Robotics AI Engineer – Embedded Platform

As an Experienced Application Engineer specializing in AI Robotic domain, you will drive the development, integration, and deployment of advanced embedded solutions for robotic applications. You will work with high-performance SoC platforms, combining expertise in hardware-software co-design, real-time systems, and AI/computer vision integration.

Professional

- Strong problem-solving skills, ability to work independently and in a team, and willingness to learn new technologies.

Responsibilities

Develop software stack across heterogeneous architectures including Arm Cortex-A, Cortex-R, and Cortex-M cores on RCar and RZ SoCs.; Design and develop AI‑based robotic applications on R‑Car and RZ SoCs; Develop and integrate AI/ML models on hardware accelerators (NPU/DSP/GPU).; Implement real-time control algorithms and middleware for robotic applications using ROS2, Linux

Requirements

Ability to program applications, middleware on Linux, ROS2; Proficiency in programming languages such as C, C++, Python; Strong understanding of core robotics algorithms; Experience in computer vision for robotics: Image processing, object detection, tracking, and perception pipelines; Familiarity with libraries/frameworks such as OpenCV, TensorFlow, PyTorch, or similar; Knowledge or experience in Reinforcement Learning (RL) applied to robotics; Experience with robotics simulation tools is a strong advantage: Gazebo, Isaac Sim; Ability to validate algorithms in simulation before deployment on real robots; Preference will be given to candidates with hands-on experience with microcontrollers and low-level hardware control; Understanding of mechanical systems in robotics, Sensors