AI Robotics Engineer

Job Description/Preferred Qualifications

• Implement vision-guided reasoning systems that translate perception into physical actions for robotic platforms

• Build the decision-making layer that lets robotic systems plan sequence and execute maintenance tasks autonomously

• Integrate computer vision models with robotic control systems bridging what the system sees and what it does

• Work directly with service engineering teams during proof-of-concept phases to understand real constraints and validate approaches in the field

• Design and implement safety constraints and fallback behaviors for autonomous operations involving precision hardware interaction

• Build simulation and testing frameworks that validate robotic behaviors before field deployment

• Collaborate with the vision team on model requirements what the robotics layer needs from perception to act reliably

• Document system architectures control logic and operational procedures for field deployment

Minimum Qualifications

• Bachelors degree in Robotics Computer Science Electrical Engineering Mechanical Engineering or related field; Masters preferred

• 1 years of experience building robotics or autonomous systems that operate in physical environments (strong new grads with demonstrated projects or research considered)

• Strong programming skills in Python and C/C; experience with ROS/ROS2 or equivalent robotics frameworks

• Hands-on experience integrating computer vision with robotic control perception-to-action pipelines

• Experience with motion planning path planning and task-level reasoning for manipulation or navigation

• Working knowledge of sensor fusion state estimation and real-time control systems

• Strong understanding of safety engineering for autonomous systems failure modes fallback behaviors and human-in-the-loop design

• Comfortable in ambiguity you thrive in early-stage work where the path isnt clear and you have to figure it out

• Excellent problem-solving skills and comfort working in hardware-constrained environments

• Prior experience in manufacturing semiconductor industrial automation or field robotics is a plus

• Experience with reinforcement learning for robotic control or sim-to-real transfer is a plus

We offer a competitive family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer

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