Company Overview
Group/Division
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
Bachelor's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; Master's 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 isn't 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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Skills Required
- Bachelor's degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field
- Master's degree
- 1+ years of experience building robotics or autonomous systems in physical environments
- 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, fallback behaviors, and human-in-the-loop design
- Comfortable working in ambiguous, early-stage problems and hardware-constrained environments
- Prior experience in manufacturing, semiconductor, industrial automation, or field robotics
- Experience with reinforcement learning for robotic control or sim-to-real transfer
KLA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.
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Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
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Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
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Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.
KLA Insights
What We Do
KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.
