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Ai Reliability Engineer Jobs in Oregon (NOW HIRING)

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108K - $147K/yr

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets. What we are looking for: * 5+ years experience in DevOps, Site Reliability ...

WPM C4 Quality and Reliability Engineer

Hillsboro, OR · On-site

$78K - $101K/yr

As a Quality and Reliability Engineer (QRE), you will be part of FQRL (Foundry Quality, Reliability ... scale AI computing. C4 (bumping) QREs cover several critical process segments[RB2.1] such as ...

Vice President, Engineering and AI Innovations

OR · On-site +1

$179K - $231K/yr

As VP of Engineering, AI Innovations, you will lead the our team of talented software developers ... Deep knowledge of SRE principles: SLIs/SLOs, incident management, error budgets. * Experience ...

... AI agents, and serves the Financial Intelligence Graph to Fortune 500 customers who expect ... Strong SRE instincts: you think in terms of SLOs, capacity planning, incident response, and ...

Principal Platform Security Engineer

OR · On-site +1

$142K/yr

Our team partners closely with platform, infrastructure, SRE, product engineering, risk, and ... Partner with engineering teams to improve the security of AI-assisted developer workflows and GenAI ...

Senior Software Engineer (Cloud Infrastructure)

OR · On-site +1

$108K - $147K/yr

Deliver SRE and DevOps initiatives that improve reliability, scalability, observability, deployment ... You have a strong interest in building AI-native and data intensive applications and systems ...

... AI/ML), Platform, Delivery, Sustaining, and Security to ensure the platform meets reliability ... Mentor and unblock other engineers through design reviews, documentation, and handson debugging ...

Continuously identify opportunities to eliminate repetitive work through scripting, IaC, or AI-assisted tooling What We're Looking For Required: * 4-7+ years in DevOps/ Cloud Automation, SRE, or ...

Vice President, Production Engineering

OR · On-site +1

$179K - $231K/yr

The Vice President / Senior Vice President of Production Engineering is the senior executive accountable for the reliability, performance, scalability, and security of NICE's global, AI-first ...

New

Staff AI Engineer

OR · On-site +1

$177K - $209K/yr

You'll be joining real, in-flight work where reliability, security, and scalability are critical. You'll establish engineering standards, raise the bar on how we build AI systems, and contribute to ...

AI Engineer

OR · On-site +1

Systems security engineering is an important component of this work, with an emphasis on ... Evaluate AI-generated outputs for accuracy, factuality, grounding, reliability, bias, helpfulness ...

Showing results 21-40

Ai Reliability Engineer information

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

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

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

What cities in Oregon are hiring for Ai Reliability Engineer jobs?

Cities in Oregon with the most Ai Reliability Engineer job openings:

Process Integration Development Engineer

Hillsboro, OR • On-site

Intel Corporation
Manufacturing • 10K+ employees

$111K - $140K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 162 rated electronics manufacturers


Job description

Job Details:
Job Description:
Come join Intel Foundry's Silicon Technology Development (Si TD) Quality and Reliability organization as a Process Integration Development Engineer within the Integrated Quality and Reliability team.
The Integrated QR team develops and executes integrated reliability methodologies, defect reliability assessments, HTOL/ELFR certification strategies, ELF modeling, and MTS quality systems that enable technology certification for Intel Foundry's leading-edge process technologies. The team partners closely with technology development, design, test and stress, manufacturing, and product organizations to assess technology readiness, mitigate reliability risks, and drive continuous improvements in reliability and product quality.
In this role, you will help drive technology certification and defect reduction by working across organizations to identify reliability risks, evaluate technology readiness, and develop solutions that enable successful technology development and high-volume manufacturing. You will contribute to advancing integrated reliability methodologies, defect reliability assessments, technology certification frameworks, and MTS quality systems supporting Intel Foundry's advanced technology portfolio.
Responsibilities may include but are not limited to:
• Developing and executing integrated and defect reliability certification strategies for advanced semiconductor process technologies, including qualification requirements, certification methodologies, acceptance criteria, and technology health metrics.
• Driving technology certification activities, including HTOL, ELFR, ELF modeling, defect reliability process controls, screening methodologies, and related reliability assessments.
• Designing and executing experiments to characterize reliability behavior, validate reliability models, and understand device and process failure mechanisms.
• Developing reliability risk assessments and providing data-driven recommendations for technology readiness and certification decisions.
• Building and applying statistical models to assess defectivity, latent reliability risk, and product quality.
• Collaborating with process integration, design, device, manufacturing, and product teams to identify and resolve technology reliability challenges.
• Driving statistical quality methodologies, including process capability analysis, MTS, CPK, and process monitoring systems.
• Developing automation, data analytics, and AI-assisted solutions to improve engineering productivity and technical decision making.
• Communicating technical findings, recommendations, certification status, and risks to engineering and management stakeholders.
Additional qualifications include:
• Strong analytical and problem-solving skills.
• Knowledge of semiconductor device physics and manufacturing fundamentals.
• Experience with statistical analysis and experimental design.
• Excellent written and verbal communication skills.
• Ability to work effectively in a highly collaborative and cross-functional environment.
Qualifications:
Minimum Qualifications
The candidate must possess a Ph.D. degree in Electrical Engineering, Materials Science, Physics, Reliability Engineering, Semiconductor Engineering, or a related technical discipline.
At least 2 years of experience in Semiconductor industry.
Preferred Qualifications:
Experience in one or more of the following areas:
• Semiconductor reliability engineering and technology qualification.
• Advanced CMOS technology development and process integration.
• Defect reliability, latent defect modeling, and reliability statistics.
• HTOL, ELFR, TDDB, BTI, HCI, electromigration, or related reliability mechanisms.
• Product and technology qualification methodologies.
• Semiconductor failure analysis and physical characterization techniques.
• Statistical quality systems, process capability analysis, MTS, and CPK methodologies.
• Design of Experiments (DOE), JMP, SAS, R, or equivalent analytical tools.
• Data analytics, machine learning, and automation using Python, SQL, or similar programming languages.
• AI-assisted data analysis and engineering workflow automation.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $155,520.00-219,550.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

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Workplace

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Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968