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
Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [email protected] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
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.
-
Retirement Support — Retirement offerings include a 401(k) plan with company matching and financial planning support. Student debt assistance and related financial benefits reinforce long-term savings and security.
-
Equity Value & Accessibility — Ownership programs include an Employee Stock Purchase Plan and broad-based RSU participation that extend equity beyond a narrow group. These elements complement competitive pay and bonuses to strengthen total rewards.
-
Leave & Time Off Breadth — Time-off programs span paid time off, paid company holidays, and paid volunteer time. Family care and bonding leave and back-up care services add flexibility during life events.
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.
