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Knowledge Engineering Jobs in Oregon (NOW HIRING)

Capture and publish institutional knowledge, working across engineering communities to improve consistency. Organize engineering information for fast discovery using SharePoint, Teams, or other ...

Capture and publish institutional knowledge, working across engineering communities to improve consistency. Organize engineering information for fast discovery using SharePoint, Teams, or other ...

Capture and publish institutional knowledge, working across engineering communities to improve consistency. * Organize engineering information for fast discovery using SharePoint, Teams, or other ...

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As you develop local knowledge, you will assist more experienced colleagues in broader engineering activities, perform routine engineering functions, compose proposals, initiate site walkthrough ...

The Engineering Technician will be responsible for working in conjunction with R&D Engineering to ... Working knowledge of computer programs (Microsoft Word, Excel, Outlook) * JMP experience is a plus

Be Seen First

As you develop local knowledge, you will assist more experienced colleagues in broader engineering activities, perform routine engineering functions, compose proposals, initiate site walkthrough ...

Engineering Supervisor

Wilsonville, OR · On-site

$97K - $143K/yr

Extensive knowledge and technical expertise in electrical and mechanical design and engineering methods. Extensive knowledge of ANSI, IEEE, IEC, and NEMA Standards, NEC, and UL requirements. Ability ...

Showing results 41-60

Knowledge Engineering information

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.

How does a knowledge engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How much does a knowledge engineer make?

The average salary for a knowledge engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Knowledge engineers often work with AI, machine learning, and data management tools, and advanced skills can lead to higher compensation.

How to become a knowledge engineer?

To become a knowledge engineer, typically a bachelor's degree in computer science, information systems, or a related field is required, along with skills in knowledge representation, logic, and programming languages such as Python or Java. Experience with artificial intelligence, machine learning, and knowledge management tools is also valuable, and some roles may prefer candidates with advanced degrees or certifications in relevant areas.

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming are essential for this role.

What are popular job titles related to Knowledge Engineering jobs in Oregon?

For Knowledge Engineering jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in Oregon look for?

The top searched job categories for Knowledge Engineering jobs in Oregon are:

Infographic showing various Knowledge Engineering job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Mgr, Engineering

Tualatin, OR • Hybrid

Lam Research
Manufacturing • 10K+ employees

Full-time

Posted 5 days ago


Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

137th of 499 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 Responsibilities may include a combination of the following: Hardware Development: Directs, leads, and manages the technical activities of a hardware development function for electronic design, mechanical design and/or hardware reliability.

Software Development: Directs, leads, and manages the technical activities of a software development function for software systems, applications and/or software quality assurance. Systems Design: Directs, leads, and manages the technical activities of an integrated hardware/software systems design function. What you'll do Provide direction to the global team and assist in the development of skills, capabilities, domain knowledge, technical ownership, and hiring required to meet objectives.

Continuous improvement. This includes all elements of the engineering development and release process from the tools used to communicate, to the engineering practices themselves. Work cross-functionally to develop problem statements and align requirements and functionality with stakeholders to drive solutions.

Manage CFTs with a diverse array of talents and responsibilities in both the US and India. Resolve escalations. Lead the prioritization and coordination of engineering operations work with a global workforce.

Represent GPE operational interests in corporate CFTs. Create, revise, review, release, and communicate engineering standards and bestknown methods. Capture and publish institutional knowledge, working across engineering communities to improve consistency.

Organize engineering information for fast discovery using SharePoint, Teams, or other corporate tools. Develop, evaluate, and champion tools to improve the quality and efficiency of engineering work. Who we're looking for Expected minimum of 12 years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 5 years of experience; or equivalent experience.

Experience with engineering product development processes/best practices. Management experience. Design engineering experience, preferably in semiconductor equipment.

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. #LI-LH1 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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Benefits

Hours and flexibility

Workplace

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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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