Robotics AI Engineer - Robot Learning

Janicki Industries is hiring a Robotics AI Engineer to develop intelligence that enables robots to learn skills and perform physical tasks in manufacturing and other real-world environments. The role focuses on robot learning, vision-language-action models, simulation, computer vision, and deployment of trained models to physical machines.

Responsibilities:

• Robot Learning: Develop and train neural networks that translate visual information and human demonstrations into robotic actions. Work with imitation learning, reinforcement learning, and modern robot foundation models
• Vision-Language-Action Models: Build training pipelines using camera data and human teleoperation. Explore and adapt VLA approaches, including NVIDIA Isaac GR00T, to teach robots new manipulation skills
• Simulation: Use NVIDIA Isaac Sim, Isaac Lab, and Omniverse to create realistic environments, generate training data, and train and evaluate robotic behaviors before deploying them to physical hardware
• Computer Vision: Develop perception systems that allow robots to recognize objects, understand their surroundings, and make decisions based on visual information. Apply technologies such as YOLO, image segmentation, and depth sensing
• Real-World Deployment: Work alongside our robotics, mechanical, and electrical engineers to bring trained models onto actual machines, evaluate their performance, and continually improve their capabilities

Requirements:

• a strong foundation in machine learning, software engineering, or robotics
• meaningful hands-on experience in at least one of these areas:
• Robotics simulation and learning environments, particularly NVIDIA Isaac Sim, Isaac Lab, Omniverse, or similar platforms
• Training neural networks for robotic manipulation, imitation learning, reinforcement learning, or learning from human demonstrations
• Computer vision and perception, including object detection, segmentation, and models such as YOLO
• Developing and training AI models using Python, PyTorch, or comparable frameworks
• Bachelor's degree in Mechanical Engineering, Computer Science, or closely related field from an ABET-accredited
• 2+ years of relevant engineering experience spanning robotics and AI
• A strong academic background in computer science, robotics, AI, or a related engineering discipline
• engineers who have worked with vision-language-action models, teleoperation-based training, NVIDIA Isaac GR00T, or robotic systems that learn through experience