The group you’ll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.

The impact you’ll make

What you’ll do

• Collaborate with cross-functional and cross-cultural teams to guide the specification and development of products.
• Debug optical, electrical, mechanical, and signal integrity issues during sensor module development.
• Perform comprehensive characterization of imaging sensors, time-series sensors (e.g., thermal, acoustic, vibration), and associated signal processing pipelines.
• Collaborate with cross-functional teams to identify, implement, and validate improvements in sensor data capture and processing across hardware and software.
• Apply engineering theories and research techniques to investigate, troubleshoot, and resolve technical challenges.
• Plan and execute research to advance sensor analytics, including image/video processing and time-series signal analysis for semiconductor equipment.
• Develop algorithms and workflows for sensor fusion, anomaly detection, and predictive modeling using multi-modal data.
• Assess effectiveness and accuracy of models and data acquisition techniques.
• Develop, train, and deploy models for optimizing customer experience and equipment reliability.
• Create test plans, documentation, and reports for sensor validation and performance metrics.
• Support process engineers by running recipes and coordinating sensor-based measurements on process modules..
• Maintain a high degree of customer engagement including face-to-face and international travel to customer sites supporting near term product releases and solve customer issues.
• Work in a cleanroom lab and/or customer semiconductor fab environment.

Who we’re looking for

Minimum Qualifications:

• BS/MS/PhD in Electrical Engineering, Computer Science, Mechanical Engineering, Physics, Applied Mathematics, or related disciplines.
• Strong experience in signal processing, sensor integration, and data analysis for imaging and non-imaging sensors.
• Proficiency in image processing, computer vision, and time-series analysis algorithms.
• Expertise in scripting languages such as Python or MATLAB; familiarity with scientific computing libraries.
• Knowledge of sensor calibration methods (e.g., camera calibration, sensor alignment) and data acquisition systems.
• Familiarity with software test methodologies, Design of Experiments, and performance validation.
• Strong problem-solving and troubleshooting skills across hardware and software domains.
• Ability to learn new technologies and complete projects with minimal guidance.
• Comfortable with multiple software tools and basic system/network troubleshooting.

Preferred qualifications

• Experience with Python and the scientific stack (NumPy, SciPy, Pandas, OpenCV).
• Background in sensor fusion, anomaly detection, and predictive analytics.
• Working knowledge of network protocols and streaming data analytics.
• Experience with thermal imaging, spectroscopy, vibration/acoustic sensors, or other non-vision sensing modalities.
• Familiarity with semiconductor processing and equipment operations (Lam Research experience is a plus).
• Exposure to machine learning techniques for image classification, segmentation, and time-series forecasting.

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.