As a Senior Embedded AI Engineer, you'll integrate Large Language Models into robotics, optimize AI models for embedded platforms, and work on simulations with real robots.

Develop high-quality software for robotics applications focusing on simulations and performance improvement in ROS(2) environments. Requires experience in C++ and Linux.

Develop and test machine learning tools for autonomous vehicles, work with synthetic datasets, automate ML pipelines, and develop perception algorithms for AV/ADAS systems.

The Machine Learning Engineer will develop ML pipelines, automate processes, and work with perception algorithms for autonomous driving. Responsibilities include data generation, testing ML tools, and exploring vehicle operating conditions.

Design, develop, and implement software for robotic systems, optimize performance, and participate in testing and validation within simulated and real-world environments.

Develop C/C++ CUDA libraries for simulating LiDARs on GPUs. Work on integration with robotics and simulation engines, focusing on software engineering and problem-solving.

Develop and maintain robotic simulations using NVIDIA Isaac Sim, integrate ROS 2, and prototype perception and planning algorithms.