Vision Systems Engineer 4

Lam Research • Tualatin, OR

1d • Hybrid

About The Position

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. At Lam, as a Product Engineer, you thrive in high-stakes, dynamic environment, driving product development at the forefront of the semiconductor equipment industry. Collaborating closely with customers and internal teams, you will provide real-time problem-solving to customer challenges and to enhance our products. Your passion for engaging with customers and innovative engineering drives progress in our industry, tackling the once unsolvable. In this role, you will directly contribute to Equipment Intelligence team in The Deposition Group.

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
• Strong expertise in Machine Learning and Deep Learning
• Strong expertise in Statistical Modeling and Experimental Design
• Strong expertise in Image Processing and Pattern Recognition
• Proficiency C/C++ , 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.

Nice To Haves

• 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.
• Increased 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.

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.

Benefits

• 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.
• At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior