Product Engineer

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.

We are seeking a top‑tier candidate to work on integration, testing, and analysis of diverse sensor technologies—including vision systems and other time‑series sensors—for our advanced products. The ideal candidate will work in a cross‑functional role, collaborating with engineering teams and vendors to develop robust infrastructure for accurate data acquisition, processing, and performance validation. This role also involves supporting field teams virtually or on‑site as needed.

• 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 solving customer issues.
• Work in a cleanroom lab and/or customer semiconductor fab environment.

Who we’re looking for

• 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.

• Experience with Python and the scientific stack (Num Py, Sci Py, 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.

In this role, you will partner with subject matter experts and collaborate with hardware, electrical, software, and algorithm teams to build representative test systems and prototypes for multi‑sensor integration and analytics.

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