- 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.
