Vision Systems Engineer 4

Lam Research Salzburg GmbH; Tualatin (OR); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

On-site Flex

Virtual Flex

Job summary

Lam Research in Portland area is seeking a Vision System Data Science Engineer to lead design, development, and deployment of advanced computer vision and ML solutions for complex industrial applications.

You will transform image and sensor data into actionable insights, partnering with customers and internal teams to improve product quality, process control, and efficiency. Strong leadership and production-grade deployment experience are essential.

Qualifications

• Master's degree with 8+ years in data science, computer science, physics, or related field.
• PhD with 5+ years of relevant experience is acceptable.

Responsibilities

• Design, develop, and deploy computer vision algorithms for industrial applications.
• Build scalable ML/DL models using image, video, and sensor data.
• Lead data science lifecycle: collection, labeling, training, deployment, monitoring.
• Develop image-processing pipelines with modern CV frameworks and cloud tech.
• Define data quality standards and metrics for production readiness.
• Collaborate with engineers and product teams to deliver integrated vision solutions.
• Conduct root-cause analysis and use analytics to improve yield and equipment performance.
• Evaluate emerging AI/ML technologies to drive innovation.
• Mentor junior engineers on best practices in data science and ML.

Skills

Computer Vision

Machine Learning

Deep Learning

C/C++

Python

OpenCV

Cloud platforms

MLOps

Education

Master's degree in Data Science/CS/Physics

PhD with 5+ years experience

Tools

TensorFlow

PyTorch

OpenCV

Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date: Aug 12, 2026

Location: Tualatin, OR, US, 97062

Worker Category: On-site Flex

The group you’ll be a part of

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

The impact you’ll make

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.

What you’ll do

• 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.

Who we’re looking for

We are seeking a highly skilled Vision System Data Science Engineer to lead the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications. The ideal candidate combines deep expertise in data science, computer vision, machine learning, and software engineering to transform image and sensor data into actionable insights that improve product quality, process control, and operational efficiency. As a senior technical contributor, you will drive end-to-end vision system development, collaborate with cross-functional teams, and provide technical leadership in AI-driven imaging and analytics initiatives.

Minimum Qualifications: 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 and Deep Learning Statistical Modeling and Experimental Design 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.

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.
• 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.

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.

Our Perks and Benefits

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.

Nearest Major Market: Portland Oregon

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