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Automation Engineering Manager Jobs in Portland, OR

Coherent Corp.

Automation Engineer

Wilsonville, OR · On-site

Work with engineering team members to define and optimize testing requirements. * Participate in ... Strong leadership ability including project management. * System-level thinking combined with ...

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Automation Engineering Manager information

See Portland, OR salary details

$95.4K

$146.4K

$184K

How much do automation engineering manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for automation engineering manager in Portland, OR is $146,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $169,700.00 per year, depending on experience, location, and employer.

What does an automation engineering manager do?

An Automation Engineering Manager oversees the design, implementation, and optimization of automated systems in manufacturing or software development. They lead a team of engineers to improve efficiency, reduce costs, and enhance productivity through automation technologies. Responsibilities include project management, system integration, troubleshooting, and ensuring compliance with industry standards. They collaborate with other departments to align automation strategies with company goals. Strong technical expertise, leadership skills, and problem-solving abilities are essential for this role.

What are the key skills and qualifications needed to thrive as an automation engineering manager?

An Automation Engineering Manager should have a strong background in automation technologies, process improvement, project management, and a relevant engineering degree. Familiarity with PLC/SCADA systems, robotics, industrial control systems, and certifications such as PMP or Six Sigma is often required. Excellent leadership, problem-solving, and communication skills help drive team performance and foster cross-functional collaboration. These capabilities are essential for delivering efficient automation solutions, ensuring project success, and guiding multidisciplinary teams in fast-paced environments.

What are some typical challenges faced by automation engineering managers in their day-to-day work?

Automation Engineering Managers often balance multiple projects and deadlines while ensuring high quality and compliance with industry standards. A common challenge is integrating new automation technologies with existing systems, which requires careful planning and troubleshooting. Collaboration with cross-functional teams—including operations, IT, and maintenance—is crucial for aligning technical solutions with business goals. Additionally, staying current with emerging automation trends and training team members on new tools is a key part of the role, helping drive continuous improvement and operational efficiency.

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Automation Engineering Manager jobs near you
Infographic showing various Automation Engineering Manager job openings in Portland, OR as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $146,405 per year, or $70.4 per hour.

Yield Development Engineering Manager-Strategic Programs

INTEL

Vernonia, OR

$136K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 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 156 rated electronics manufacturers

Job description

Job Description

The Role and Impact
We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment.


You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity.


As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations.
Key Responsibilities
Strategic Leadership and Transformation:

  • Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows.

  • Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems.

  • Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites.

AI-Driven Productivity and Decision Intelligence:

  • Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis.

  • Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems.

  • Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations.

Operational Excellence and Yield Performance:

  • Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets.

  • Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply.

  • Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence.

Defect Metrology and Systems Leadership:

  • Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture.

  • Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation.

  • Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements

Program Execution and Stakeholder Influence:

  • Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams.

  • Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution.

  • Influence senior stakeholders and executives to align investments, priorities, and organizational focus.

Organization and Talent Leadership:

  • Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning.

  • Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency.

  • Champion a shift from individual based to scalable, system-driven excellence.


Qualifications
Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Other Locations
US, Phoenix
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.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00
*Salary range dependent on a number of factors including location and experience
Working Model
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.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

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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

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