Mechatronics Program Lead Engineer (Bangalore, IN- Bangalore) chez Lam Research

The impact you’ll make

Designs, develops, modifies and integrates computer-controlled electronic and mechanical systems for the automation of industrial tasks and enhancement of manufacturing, processing or production equipment. Applies advanced electronic control systems, designs and assists in the manufacture of consumer products and in the development of new electro-mechanical concepts for new product lines. Responsible for assembling components, preparing test plans and supporting testing and validation of products.

What you’ll do

• Work collaboratively in a cross-functional team to design, build, test & troubleshoot applications on Lam robotic system
• Prototype, test, and iterate on mechanical, electrical, and software components to optimize performance and reliability
• Create detailed design documentation, technical specifications Integrate sensors, actuators & control systems to enable autonomous operation & intelligent behaviour
• 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 Robotic path programming and computer vision extremely valuable

Who we’re looking for

• Bachelor's, Master’s or Ph.D. in Robotics, Mechatronics, Computer Science, or a related field
• 8+ years of professional experience in one or more of the following domains: Robotics, Computer Vision, Path Planning, Control Theory, Sensor Fusion, or Deep Learning
• Expert-level programming skills in C++ and Python, with a deep understanding of Object-Oriented Programming (OOP) concepts
• Extensive hands-on experience with ROS2 in complex or commercial projects
• Proven track record of developing and deploying large-scale robotics software from the ground up
• Proficiency with Git or similar version control systems and experience with modern software development workflows

Preferred qualifications

• Experience with robotic hardware design and end effector application development Proficient in MCAD model creations
• Experience with the MoveIt framework.
• Familiarity with simulation environments like Gazebo or Isaac Sim.
• A track record of publications in top-tier robotics or computer vision conferences (e.g., ICRA, IROS, RSS, CVPR) is a plus
• Knowledge of URscript and Experience with Behavior tree is a plus

Our commitment

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.