Manufacturing Engineer

Job Details

Job Description:

As a Semiconductor Manufacturing Engineer, you will be instrumental in developing, supporting, and advancing high-volume and technology-driven manufacturing processes and systems. Your focus will be on sustaining and optimizing operations while implementing solutions that improve efficiency, product quality, and factory performance. By analyzing key metrics, identifying areas for improvement, and driving innovations, your work will have a direct impact on Intel's manufacturing excellence and operational success.

This role is part of Intel's Assembly Technology Development team, a team dedicated to delivering world-class silicon packaging technology and high-volume manufacturing solutions. As a member of this group, you will contribute to the seamless execution of manufacturing processes that drive Intel's business objectives, innovation, and commitment to quality.

• Provide technical expertise throughout the product lifecycle, including New Product Introduction (NPI) builds and sustaining manufacturing processes.
• Develop and implement manufacturing decision support tools, methodologies, and standards for operational sequences and processes.
• Identify and resolve process deviations while driving improvements in efficiency, product quality, and factory performance.
• Analyze factory metrics to enhance output, capacity, and overall operational health.
• Collaborate with factory operations, engineering teams, and automation stakeholders to align strategies and tools with operational goals.
• Develop and maintain manufacturing documentation on process requirements, product configuration, and build standards.
• Partner with automation teams to define and implement manufacturing system requirements and solutions.

• US Citizenship required.
• Bachelor's degree in Industrial Engineering or in STEM related field of study.
• Experience in manufacturing processes demonstrated through internships, academic projects, coursework, or hands-on training.

• Masters degree in Industrial Engineering or in STEM related field of study.
• Familiarity with semiconductor technology development and manufacturing processes.
• Experience in development or high-volume manufacturing environments.
• Knowledge of Lean and Six Sigma methodologies and certifications.
• Program or project management experience.
• Data mining and visualization skills using tools such as SQL, PowerBI, R, or JMP.
• Experience in analyzing factory performance metrics, identifying process optimization opportunities, and delivering novel solutions.

We look forward to welcoming talented individuals who are eager to contribute to Intel's manufacturing innovation and operational excellence.

Experienced Hire

Shift 1 (United States of America)

US, Arizona, Phoenix

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.

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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: $76,.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.

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.

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