Vision Systems Engineer 4

About the role

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.

As a Product Engineer in the Equipment Intelligence team within The Deposition Group, you will thrive in a high-stakes, dynamic environment, driving product development at the forefront of the semiconductor equipment industry. You will collaborate closely with customers and internal teams to provide real-time problem-solving and enhance our products.

Responsibilities

• Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
• Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
• Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
• Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
• Define data quality standards and establish model performance metrics to ensure production readiness.
• Collaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.
• Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
• Drive innovation by evaluating emerging AI, machine learning, and computer vision technologies.
• Mentor junior engineers and provide technical guidance on best practices in data science and machine learning.

Requirements

• Master's degree in Data Science, Computer Science, Physics, or related field with 8+ years of relevant experience; or Ph.D. with 5+ years of experience.
• Strong expertise in computer vision, machine learning, deep learning, statistical modeling, and experimental design.
• Proficiency in Python and scientific computing libraries such as TensorFlow and/or PyTorch, OpenCV.
• Experience developing and deploying production AI/ML systems.
• Strong knowledge of CNNs, object detection, segmentation, and anomaly detection methodologies.
• Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
• Ability to handle large-scale structured and unstructured datasets.

Preferred Qualifications

• Experience in semiconductor manufacturing, industrial automation, robotics, medical imaging, or advanced inspection systems.
• Knowledge of optical systems, cameras, sensors, and imaging hardware.
• Experience with edge AI deployment and real-time inference systems.
• Familiarity with SQL, Spark, Databricks, and distributed computing environments.
• Proven track record of increasing process efficiency, yield, or product quality through AI-driven insights.
• Successful deployment and adoption of vision solutions in production environments.
• Technical leadership and influence across multiple engineering programs.

Benefits

At Lam, we invest in our people throughout the phases of their life with a comprehensive set of outstanding benefits.

Schedule

Lam offers hybrid work models based on role needs:

• On-site Flex: 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: Work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.