Mechatronics Engineer

The group you’ll be a part of

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.

Join our team as a mechatronics engineer to develop robotic path planning and computer vision algorithms, as well as lead in system integration and testing (both HW and SW). Collaborate with mechanical, electrical, and software engineers to design, test, and troubleshoot special application end effectors on a 6‑axis robot. The ideal candidate is organized, thorough, and thrives in a dynamic, start‑up‑like environment.

Hands‑on development and prototyping are essential for success.

• Program robotic paths/behaviors for 6‑axis arms
• Integrate with ROS/ROS2
• Design a learning pipeline for computer vision algorithms
• Design, build, test, and troubleshoot robotic systems
• Integrate sensors and actuators into robotic systems and analyze and optimize robotic system performance and accuracy
• Create user interfaces for robotic systems
• Own tasks and projects, ensuring proper release and hand‑off
• Apply engineering theories and methods to solve technical problems
• Conduct pilot studies and formal experiments (using Design of Experiment principles) to benchmark performance against state‑of‑the‑art approaches using well‑reasoned metrics
• Generate reports to support technical recommendations
• Work within cross‑functional team and assist in the design, analysis and performance evaluation from concept to completion
• Implement process control techniques like Six Sigma and Lean Manufacturing
• Work onsite in the lab 5 days/week
• Travel occasionally
• Train other engineers

• Degree in mechatronics, robotics or related field
• 3‑10 years of experience in robotics (manipulation) and computer vision
• Excellent intuition with system hardware and physics
• Background in robotics /machine (deep) learning /reinforcement learning
• Experience with C++ and Python in Linux environments
• Strong problem‑solving and troubleshooting skills
• Understanding of Design of Experiment (DOE) principles
• Experience with version control (preferably Git)
• Ability to work independently
• Understanding of statistical process control and analysis
• Experience in project management

• Experience with Behavior Tree / Move It
• Experience with robotic hardware design and end effector application development.
• Proficient in MCAD model creation (Siemens NX, Creo, Solidworks).
• Knowledge of C++, Python, OpenCV, Tensor Flow or PyTorch, JS + React, ROS, ROS2
• Experience with web APIs or SDKs
• Embedded Linux experience working with Kernels
• Project management experience

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…