Artificial Intelligence Engineer

• Education: Bachelor’s, Master’s, or PhD in Robotics, Engineering, Computer Science, or a related field.
• Experience: 3+ years in AI applications for electric vehicles, robotics, large language models (LLMs), or machine learning.
• Machine Learning & AI: Strong understanding of ML algorithms, data analysis, and AI model training for vehicle components and robotics.
• Software Engineering: Proficiency in software development, including coding, testing, and deployment, with experience in real-time simulation tools.
• Robotics & Control Systems: Expertise in at least one core robotics area:
• Perception & computer vision
• Motion planning & manipulation
• State estimation & behavior coordination
• Mathematical & Analytical Skills: Strong grasp of spatial kinematics, dynamics, and related mathematical concepts.
• Programming Proficiency: Expertise in Python, C++, and MATLAB.
• Communication & Collaboration: Strong written and verbal communication skills to convey technical details effectively.
• Teamwork & Innovation: Ability to work in cross-functional teams and contribute to AI-driven advancements in vehicles and robotics.

Preferred Skills and Experiences:

• Familiarity with standard robotics frameworks such as ROS/ROS2.
• Expertise in GPU programming using CUDA.
• Hands-on experience in modeling and programming artificial neural networks for perception, motion planning, or robotic behavior coordination.
• Knowledge of deep learning libraries such as TensorFlow, PyTorch, or OpenCV.
• Experience in integrating large language models into robotic systems for advanced behavior coordination and interaction.