Physical AI Engineer Trainee

We are looking for a passionate Physical AI Engineer Trainee to support the development and deployment of AI models on edge devices. This is an excellent opportunity for students or recent graduates interested in AI, computer vision, embedded systems, and robotics.

Skills:

Exposure to CUDA, C++, embedded systems, or robotics. Experience with personal, academic, or open-source AI projects. Familiarity with Git and Linux is a plus.

Responsibilities:

• Assist in developing and optimizing AI models for Edge AI devices.
• Support computer vision applications using images and video.
• Help deploy AI models on embedded hardware (e.g., NVIDIA Jetson, Google Coral).
• Collaborate with engineers to integrate AI solutions into edge devices.
• Assist with testing, debugging, documentation, and performance optimization.
• Support the design, assembly, and testing of robotic systems, including sensor, actuator.

Requirements:

• Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, AI/ML, Robotics, or a related field.
• Knowledge of Python and at least one AI framework (PyTorch or TensorFlow).
• Basic understanding of computer vision (OpenCV) and machine learning concepts.
• Familiarity with Edge AI hardware (NVIDIA Jetson, Google Coral, Intel Movidius) is a plus.
• Understanding of LLMs, RAG, or Agentic AI concepts is a plus.
• Strong problem-solving skills and eagerness to learn.