AI Expert Robotics - onsite

Job Description

The AI Expert – Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands-on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission-critical applications.

Responsibilities

Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control

Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems

Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications

Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system integration

Train, evaluate, and deploy ML models in real-world robotic environments

Support simulation, testing, validation, and field deployment of AI-enabled robotic systems

Analyze system performance and continuously improve autonomy, accuracy, and reliability

Document system architectures, models, and technical designs

Stay current with emerging AI, ML, and robotics technologies and best practices

Required Qualifications

Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field

5+ years of experience in AI/ML and robotics development

Strong programming experience in Python and/or C++

Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)

Experience working with robotic systems, sensors, and actuators

Solid understanding of robotics fundamentals including kinematics, controls, and perception

Experience deploying AI models to production or real-world environments

Preferred Qualifications

Master’s degree or PhD in AI, Robotics, or a related discipline

Experience with ROS / ROS2 and robotic middleware

Background in autonomous systems, mobile robots, or robotic arms

Experience with computer vision, deep learning, or reinforcement learning

Familiarity with simulation environments (e.g., Gazebo, Isaac Sim)

Experience supporting government, defense, or regulated programs

Ability to obtain and maintain a security clearance if required by contract