Job Description

Requisition ID

191895

Date posted

12/18/2025

Work Location Model

On-site Flex

Work Location

Bangalore-IN-Bangalore

Work Country

India

The group you'll be a part of

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The Customer Support Business Group focuses on enabling our customers with premier customer support throughout their lifecycle with Lam. We drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.

The impact you'll make

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Designs and implements advanced control algorithms, motion planning, and perception systems for autonomous robotic operations in manufacturing environments. Develops and integrates software frameworks for robotic manipulation, including path planning, sensor fusion. Training and optimization of machine learning models for robotic applications. Creates comprehensive test plans, conducts validation testing, and ensures robust performance of robotic software across diverse operational scenarios.

What you'll do

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Develop and implement motion planning algorithms and trajectory optimization for robotic systems in semiconductor manufacturing environments Design and build computer vision systems for object detection, pose estimation, semantic segmentation to enable autonomous robotic operations Create perception systems integrating multiple sensors (cameras, LiDAR, force/torque sensors) with sensor fusion techniques Develop calibration procedures and tools for TCP, robot kinematics, hand-eye calibration etc. Build software frameworks and APIs for robotic control, including inverse kinematics solvers, collision avoidance, HMI etc. Implement path planning algorithms for complex assembly and maintenance tasks in constrained environments Conduct thorough testing and validation procedures to ensure compliance with safety standards and regulatory requirements Design and conduct test experiments pertaining to the resolution of complex technical problems Implementation of DOE principles Provide technical support and troubleshooting assistance during all phases of the project lifecycle Generate clear and concise presentations and data driven reports to communicate engineering solutions and provide clear technical recommendations Acquire and apply basic engineering theories, methods and research techniques in the investigation, troubleshooting, and resolution of technical problems Act as liaison for cross-functional projects across multiple organizations with expertise in robotic path programming and computer vision

Who we're looking for

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Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field 2+ years of experience in robotics software development Strong expertise in at least one of the following areas: + Path planning and motion planning for robotic manipulators
+ Computer vision for robotics applications (object detection, pose estimation, segmentation)
+ Sensor calibration techniques (hand-eye, tool center point, multi-sensor calibration)
Proficient in C++ or Python for robotics applications Experience with ROS (Robot Operating System) or ROS2 Strong understanding of robotics fundamentals or computer vision theory Familiarity with robotics simulation tools (Gazebo, MoveIt, Isaac Sim, or similar) Experience with version control systems (Git) and collaborative software development practices Strong problem-solving skills and ability to work in cross-functional teams

Preferred qualifications

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Experience with at least one of the following is a plus: + Robotics simulation and planning tools (MoveIt, Gazebo, Isaac Sim)
+ MLOps frameworks (MLflow, Kubeflow, or similar)
Work experience with UR robots and URScript programming is a plus Experience with behavior trees for robotic task planning is a plus

Our commitment

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We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.


Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.