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Knowledge Engineering Jobs in Oregon (NOW HIRING)

Knowledge of software engineering principles Ways to stand out from the crowd: * Contributing to LLVM or other open source projects * Familiarity with GPU code generation, OpenMP, and OpenACC ...

What Skills and Knowledge Will You Bring? Ideal candidates will have: * 7 or more years of engineering experience with 2 or more years managing engineers, ideally in DevOps, platform engineering, or ...

OR · On-site

Strong knowledge of Unity Catalog, Delta Live Tables (Lakeflow), Databricks Workflows, notebooks ... Databricks Certified Data Engineer Professional certification. * Experience with Azure cloud ...

New

Do you want to put your engineering knowledge and problem-solving skills to use in a dynamic, professional work setting? * Are you interested in performing meaningful work in a challenging yet ...

Do you want to put your engineering knowledge and problem-solving skills to use in a dynamic, professional work setting? * Are you interested in performing meaningful work in a challenging yet ...

Manager, Engineering

Portland, OR · On-site

$170K - $190K/yr

Summary We are seeking an experienced and highly capable Manager of Engineering to lead our US ... Knowledge and hands-on experience with Kafka or other event-driven messaging systems. * Familiarity ...

Do you want to put your engineering knowledge and problem-solving skills to use in a dynamic, professional work setting? * Are you interested in performing meaningful work in a challenging yet ...

Manager, Engineering

Portland, OR · On-site

$170K - $190K/yr

Summary We are seeking an experienced and highly capable Manager of Engineering to lead our US ... Knowledge and hands-on experience with Kafka or other event-driven messaging systems. * Familiarity ...

OR · On-site

$170K - $190K/yr

Summary We are seeking an experienced and highly capable Manager of Engineering to lead our US ... Knowledge and hands-on experience with Kafka or other event-driven messaging systems. * Familiarity ...

OR · On-site

$170K - $190K/yr

Summary We are seeking an experienced and highly capable Manager of Engineering to lead our US ... Knowledge and hands-on experience with Kafka or other event-driven messaging systems. * Familiarity ...

OR · On-site

Develop team members' skills, technical knowledge, and careers within Cloudflare, coaching future ... Represent the Canadian Customer Engineering organization at the executive level, collaborating with ...

Significant experience in software engineering, demonstrable knowledge of the set of roles, skills, activities, practices, tools, and deliverables applied at every phase of the software lifecycle.

Showing results 41-60

Knowledge Engineering information

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 domain data, create ontologies, and implement knowledge bases using tools like logic programming and semantic technologies. Strong analytical skills and understanding of data modeling are essential for this role.

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 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 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.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge representation languages.

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.
Infographic showing various Knowledge Engineering job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Manager, Compiler Engineering

Nvidia

Hillsboro, OR • On-site

Full-time

Re-posted 19 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPUs are being used in many of the largest high performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications in the world for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world.

We are now looking for a Compiler Engineering Manager! NVIDIA's HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team building one of the world's most important optimizing compiler products. Your work will support development of compilers for high-performance computing and drive the underlying technology that powers GPU code generation for Python, C++, Fortran, OpenACC and OpenMP. Do you love the inherent challenges of complex software projects and driving systemic improvements in compiler performance and development methodologies? Are you self-motivated and a comfortable in a fast-paced team? Being a compiler engineering manager requires both traditional software management skills and a dedication to the success of our end users. We are looking for a manager to lead teams working on compiling Python, C++, and Fortran HPC applications, measuring performance, and charting the journey to speed-of-light execution. If you want to drive innovative compiler development in high-performance computing, then we want you!

What you'll be doing:

  • Managing a team of experienced compiler and performance engineers

  • Establish team objectives to meet schedules and goals.

  • Act as a mentor and advisor to grow our next generation of leaders.

  • Establish and evolve policies and procedures that affect the immediate organization.

  • Communicate with senior management for team vision and development.

What we need to see:

  • Degree in Computer Science, ECE or equivalent experience; (Ph.D. or Masters preferred)

  • A software engineer with 10+ overall years of experience with at least 4+ years of hands-on management

  • Strong software design fundamentals and a deep understanding of compilers and programming languages

  • Knowledge of software engineering principles

Ways to stand out from the crowd:

  • Contributing to LLVM or other open source projects

  • Familiarity with GPU code generation, OpenMP, and OpenACC standards

  • Knowledge of compiler internals from front end to run-time environment

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993