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Ai Validation Jobs in Oregon (NOW HIRING)

Driven by an ambitious vision and elite talent, we pioneer the AI era. Our GPUs power computers ... Lead project validation efforts in the lab, ensuring flawless execution and outstanding results.

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Collaborate asynchronously with other experts to validate findings and share perspectives on ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Collaborate asynchronously with other experts to validate findings and share perspectives on ...

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Ai Validation information

What is an AI validation?

An AI Validation job involves testing and verifying artificial intelligence models to ensure they function correctly, reliably, and ethically. This includes evaluating model accuracy, bias, robustness, and compliance with industry standards. AI validation specialists use various techniques such as data validation, performance testing, and adversarial testing to assess AI systems. Their work helps improve model quality, mitigate risks, and ensure AI applications are safe for real-world deployment.

What does an AI validation do?

An AI Validation professional is responsible for evaluating the performance, reliability, and safety of AI models before deployment. This includes designing and executing test cases, analyzing outputs for bias and errors, and documenting results to inform further model refinement. They often collaborate closely with data scientists, engineers, and QA teams to ensure the AI system meets quality and compliance standards. Day-to-day tasks may involve working with datasets, preparing validation reports, and participating in cross-functional review meetings. This role is critical in ensuring that AI systems function as intended in real-world applications.

What are the key skills and qualifications needed to thrive in the AI validation position?

To thrive in AI Validation, you need strong analytical skills, familiarity with machine learning concepts, and typically a degree in computer science, data science, or a related field. Experience with tools such as Python, TensorFlow, PyTorch, and version control systems, as well as knowledge of data annotation and model evaluation frameworks, is highly valuable. Excellent attention to detail, problem-solving skills, and effective communication are important soft skills for success in this role. These competencies are essential to ensure that AI models are robust, accurate, and meet project requirements for deployment.

What are the most commonly searched types of Ai Validation jobs in Oregon?

The most popular types of Ai Validation jobs in Oregon are:

What are popular job titles related to Ai Validation jobs in Oregon?

For Ai Validation jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Validation jobs in Oregon look for?

The top searched job categories for Ai Validation jobs in Oregon are:

What cities in Oregon are hiring for Ai Validation jobs?

Cities in Oregon with the most Ai Validation job openings:

Infographic showing various Ai Validation job openings in Oregon as of August 2026, with employment types broken down into 65% Full Time, 25% Part Time, and 10% Contract. Highlights an 82% In-person, 2% Hybrid, and 16% Remote job distribution.

Senior Validation Engineer

Nvidia

Hillsboro, OR

Full-time

Re-posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

Become part of NVIDIA's world-class team as a Senior Validation Engineer in Hillsboro! For 25 years, our company has changed computer graphics, PC gaming, and accelerated computing. Driven by an ambitious vision and elite talent, we pioneer the AI era. Our GPUs power computers, data centers, robots, and autonomous vehicles. Here is your chance to define a lasting impact by doing what no one has done previously!

What you will be doing:

  • Lead project validation efforts in the lab, ensuring flawless execution and outstanding results.

  • Interact with multidisciplinary teams to monitor validation progress and successfully guide team members.

  • Report progress and determine the best course of action to leadership on validation resourcing and equipment.

  • Set up and manage debug meetings to strictly adhere to project timelines and objectives.

  • Help project team anticipate issues and develop solutions to let the team succeed.

What We Need to See:

  • 10+ years of experience in validation engineering, with a proven track record of success.

  • BSEE or BSCE or equivalent experience

  • Strong leadership skills and the ability to guide teams to compete and achieve ambitious goals and help team navigate deep technical issues with a positive attitude.

  • Excellent communication skills to effectively report and collaborate within diverse teams.

  • A determined approach to problem-solving and a dedication to delivering world-class results.

  • A thorough understanding of design of experiements and debug to analytically reduce complex debug tasks in the pursuit of root cause

  • Experience in detailed oscilloscope usage and probing to capture low speed, high speed, and spurious signals

  • Experience in I2C, SPI, I3C, UART, PCIE, USB, Ethernet, and Infiniband signals

  • Understanding of switching power supply testing including load testing and tuning for transient response and stability testing with Bode and Nyquist analysis

  • Experience in detailed EMI and EMC product debug

  • Linux command line experience for administration and system testing and extensive experience in thermal testing which includes thorough debug methodology to solve heat flow problems in complex materials used for dissipation of high wattage ASICs

At NVIDIA, we foster an encouraging and inclusive environment. Everyone is encouraged to do their best work. We value collaboration, innovation, and the relentless pursuit of excellence. If you're ready to join a team defining the next era of computing, apply today and see how your talents can make a significant impact!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 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