Develop large language models and implement them in GPU with CUDA
Develop artificial neural networks for required functions.
Designing and implementing AI algorithms for perception decisionmaking and interaction in humanoid robots.
Developing machine learning models for various tasks such as object recognition speech processing and natural language understanding.
Utilizing stateoftheart techniques in deep learning reinforcement learning and computer vision to enhance capabilities of our EV.
Finetuning parameters and configurations to improve the responsiveness robustness and adaptability in diverse environments.
Define software and hardware requirements/tools for developing the AI related products
Collaborate with hardware and software engineers to identify gaps and clarify system requirements
Provide technical guidance and support to other team members
Provide technical presentations and tutorials as needed
Required Education and Experience:
BS MS or PhD in Computer Science Robotics Artificial Intelligence Engineering or a related field.
7 years of proven experience in developing large language models machine learning and/or other AI engineering fields
Expertise in GPU programming with CUDA
Expertise in modeling and programming of artificial neural networks
Preferred Skills:
Familiarity with standard robotics frameworks such as ROS/ROS2 simulation tools (e.g. Gazebo) and hardware platforms (e.g. robot manipulators humanoid robot kits)
Experience with realtime simulation tools and their applications to robotics.
Expertise in a robotics discipline such as perception motion planning and state estimation
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