Mechatronics Program Lead Engineer

The Group You’ll Be A Part Of

The Customer Support Business Group (CSBG) 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.

Job Description

Computer Vision & Machine Learning (Robotics)

We are looking to hire a computer vision & machine learning engineer to join a team building robotic solutions for semiconductor fabrication facilities. This person will design & implement solutions to computer vision problems using both classical and machine learning driven approaches.

The new-hire will also learn to operate & test robotic systems as part of a cross-functional team.

The candidate should have 5 or more years of academic + work experience relevant to robotics, computer vision, and/or machine learning software development.

The new-hire will need to develop a working technical understanding of Lam etch and dep chamber hardware and processes. This knowledge will be used to work closely with engineering teams to design, create and test robotics systems. The new-hire will need to develop a strong wholistic technical understanding of the robotics product that goes beyond just the software.

What You’ll Do

• Design and implement CV/ML systems built on classical and deep learning based methods
• Design systems and machine learning models that deliver insights from multimodal datasets
• Work collaboratively with a team to design, build, test and troubleshoot robotics systems
• Train other engineers
• Working with outside vendors/integrators may be needed
• Work onsite in the lab most of the time
• Willing to travel several times per year

Preferred Qualifications

• 5 -10 years of academic and/or work experience relevant to computer vision or machine learning software development
• Knowledge of the following languages and frameworks: Python, SQL, OpenCV, ML Platform such as Tensorflow or PyTorch.
• Experience collaborating on software projects using version control, preferably Git
• Experience with Robotics & Automation Systems
• MS or PhD-level education in hardware and software is preferred (degrees in mechanical engineering and robotics or mechatronics and computer science or similar)

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.