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Senior Computer Vision Engineer Jobs in Beaverton, OR

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... building computer vision and robotics technology that keeps America's most critical production ...

Rapta, Inc

Senior Software Engineer (Remote)

Portland, OR · Remote

$140K - $175K/yr

Senior Software Engineer Full-Time Position | Portland, Oregon About Us Rapta is revolutionizing ... building computer vision and robotics technology that keeps America's most critical production ...

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

We're currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you ... Computer Vision, Recommender Systems, etc. * Excellent understanding of linear algebra. What ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

FULL STACK SENIOR SOFTWARE ENGINEER Nike / Global Technology / Consumer Product & Innovation ... Industrial Robot APIs, ML models, LLM engineering, Computer Vision and Robotics Requirements:

Amat

Algorithm Engineer III Senior - (E3)

Portland, OR · On-site +1

$140K - $192K/yr

Experience in Image Processing/Computer Vision & optimizations - advantage Excellent system vision and understanding. Excellent teamwork and ability to lead, guide and mentor algo developers. Self ...

Absci Corp.

Senior Technical Product Manager

Vancouver, WA · On-site

$145 - $180/hr

Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or ... Experience with generative AI (GenAI), NLP, or computer vision, large language models (LLMs), or ...

New

Altitude Aerospace

Senior Electrical Engineer

Portland, OR · On-site

$115K - $145K/yr

We offer 100% employer-paid medical, dental, and vision insurance, SIMPLE IRA retirement plan, paid ... Proficiency with electrical CAD tools such as AutoCAD Electrical, E3.series, or similar. * Working ...

New

Hyperproof

Senior DevSecOps Engineer

Portland, OR · On-site

$121K - $166K/yr

... vision, and we continue to grow rapidly. As we continue to grow, we are seeking a talented Senior ... S. citizenship, residing and working from within the United States.* * BS in Computer Science ...

Hyperproof

Senior DevSecOps Engineer

Portland, OR · Remote

$121K - $166K/yr

... vision, and we continue to grow rapidly. As we continue to grow, we are seeking a talented Senior ... S. citizenship, residing and working from within the United States.* * BS in Computer Science ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Beaverton, OR

Senior Computer Vision Engineer information

See Beaverton, OR salary details

$61.9K

$131.7K

$190.9K

How much do senior computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior computer vision engineer in Beaverton, OR is $131,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $149,300.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are popular job titles related to Senior Computer Vision Engineer jobs in Beaverton, OR?

For Senior Computer Vision Engineer jobs in Beaverton, OR, the most frequently searched job titles are:

What cities near Beaverton, OR are hiring for Senior Computer Vision Engineer jobs?

Cities near Beaverton, OR with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Beaverton, OR as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $133,478 per year, or $64.2 per hour.

Vision Systems Engineer 4

Lam Research Corporation

Tualatin, OR • On-site

Full-time

Posted 8 days ago

Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

132nd of 491 rated machine equipment manufacturers

Job description

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
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.

What Lam Research employees say

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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