1

Engineering Tech Jobs in Oregon (NOW HIRING)

Assistant Professor

Klamath Falls, OR · On-site

$79K - $82K/yr

Posting Details Position Details Position Type Tenure Track Working Title Assistant Professor Classification Title Assistant Professor College/Division College of Engr, Tech & Mgmt (ETM) Department ...

Master's Degree in Computer Science, Information Systems or related field Principal Duties & Responsibilities • Develop and implement the IT engineering strategy aligned with the organization ...

New

Posting Details Position Details Position Type Administrative Working Title Administrative Coordinator Classification Title Coordinator College/Division College of Engr, Tech & Mgmt (ETM) Department ...

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

A Masters degree in Computer Science, Computer Engineering, or related computationally focused ... Our solutions are at the cutting edge of technology, advancing NVIDIA's leadership in accelerated ...

Bachelor's degree or foreign equivalent in Engineering, Technology, or a related field of study and seven (7) years of progressive post-baccalaureate experience in the job offered or related ...

next page

Showing results 1-20

Engineering Tech information

See Oregon salary details

$14

$34

$56

How much do engineering tech jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for engineering tech in Oregon is $34.77, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $40.67 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced engineering professionals such as senior petroleum engineers, aerospace engineers, or specialized software engineers in leadership roles can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. Achieving this level typically requires advanced skills, extensive experience, and working in industries with high compensation standards.

What is the difference between Engineering Tech vs Mechanical Technician?

AspectEngineering TechMechanical Technician
CredentialsAssociate degree or technical certificationAssociate degree or technical certification
Work EnvironmentDesign, testing, and technical support in labs or officesMaintenance, repair, and installation in industrial or manufacturing settings
Industry UsageEngineering firms, manufacturing, R&DManufacturing plants, maintenance departments, industrial facilities
Common TasksAssisting engineers, preparing technical reports, testing prototypesTroubleshooting machinery, performing repairs, installing equipment

Engineering Tech and Mechanical Technician roles share similar educational backgrounds and certifications, but differ mainly in their work environments and daily tasks. Engineering Techs focus on supporting engineering projects and testing, while Mechanical Technicians handle hands-on maintenance and repairs. Both roles are vital in manufacturing and industrial sectors, often overlapping in skills but distinct in responsibilities.

What are Engineering Techs?

Engineering Techs, or Engineering Technicians, are professionals who assist engineers in designing, developing, testing, and maintaining various products, equipment, or systems. They often work in fields such as manufacturing, electronics, civil engineering, or mechanical engineering. Their duties typically include preparing technical drawings, conducting experiments, collecting data, troubleshooting problems, and ensuring that projects meet quality and safety standards. Engineering Techs bridge the gap between theoretical engineering concepts and practical application in the field.

What kind of engineers work in tech?

Engineers working in tech include software engineers, hardware engineers, systems engineers, and network engineers. They design, develop, and maintain technology systems, often requiring skills in programming, electronics, and computer networks, along with relevant certifications or degrees. These roles are typically based in office or lab environments and may involve collaboration with other technical teams.

What can an engineering technician do?

An engineering technician assists engineers by preparing technical drawings, conducting tests, collecting data, and maintaining equipment. They often work in laboratories or manufacturing environments and may use tools like CAD software or measurement instruments. Certification or technical training is typically required for this role.

What are some common challenges Engineering Techs face when working on cross-functional project teams?

Engineering Techs often collaborate with engineers, designers, and production staff, which can present challenges such as communicating technical details to non-technical team members and balancing multiple project priorities. Adapting to different workflows and ensuring that technical documentation aligns with the needs of each department are also common hurdles. Developing strong communication skills and being proactive in seeking clarification can help overcome these challenges and contribute to project success.

What can an engineering technologist do?

An engineering technologist applies engineering principles to develop, test, and improve products and systems. They often work with engineers to implement designs, operate technical equipment, and ensure project quality, typically requiring technical skills and certifications. Their work environment may include laboratories, manufacturing plants, or field sites.

What are the key skills and qualifications needed to thrive as an Engineering Tech, and why are they important?

To thrive as an Engineering Tech, you need a solid understanding of engineering principles, technical mathematics, and hands-on experience, usually backed by an associate degree or relevant certification. Familiarity with CAD software, measurement instruments, and industry-specific testing equipment is typically required. Attention to detail, strong problem-solving skills, and effective teamwork make someone stand out in this position. These skills ensure precise execution of engineering tasks, support innovation, and maintain project efficiency and safety.
What job categories do people searching Engineering Tech jobs in Oregon look for? The top searched job categories for Engineering Tech jobs in Oregon are:
Infographic showing various Engineering Tech job openings in Oregon as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,319 per year, or $34.8 per hour.
Engineering Manager, AI Developer Technology

Engineering Manager, AI Developer Technology

Nvidia

Hillsboro, OR • Hybrid

Full-time

Re-posted 10 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

We are now looking for an AI Developer Technology Engineering Manager:

Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.

What you'll be doing:

  • Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications

  • Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications

  • Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models

  • Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans

  • Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges

  • Coach and grow your team, promoting a culture of engineering excellence and idea proliferation

What we need to see:

  • An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).

  • 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.

  • In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference

  • Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.

  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.

  • Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations

  • Excellent written and presentation skills.

  • Proven track record of planning and leading critical initiatives.

Ways to stand out from the crowd:

  • A PhD in a relevant field

  • Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives

  • Proven experience with recruiting top talent.

What's DevTech?

We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA's leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better.NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you!

#LI-Hybrid

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 21, 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

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