Packaging Research and Development Engineer

• Define and establish equipment configurations, process specifications, and integrated process flows for new and emerging packaging technologies.

• Plan and conduct comprehensive Design of Experiments (DOEs) to fundamentally characterize process windows and understand the complex interactions between processes, equipment, and materials.

• Drive continuous improvements in process capability and stability, quality and reliability, cost and yield, automation, and overall productivity.

• Lead and actively participate in cross-functional and cross-organizational teams and working groups that support substrate technology development.

• Engage and collaborate with equipment and materials suppliers to evaluate, qualify, and optimize new technologies and solutions.

• Apply advanced analytical and characterization techniques to evaluate organic and inorganic materials and processes.

• Leverage statistical data analysis tools and programming skills to derive actionable insights from complex datasets.

• Communicates clearly and confidently — both in writing and verbally — and thrives in a collaborative team environment.

• Is naturally curious and driven to solve complex, ambiguous problems with creativity and persistence.

• Adapts easily to evolving priorities and is comfortable working with a degree of ambiguity and flexibility.

• Builds strong, productive relationships with colleagues, suppliers, and cross-functional partners.

• Takes ownership and accountability for your work, and brings a proactive, solutions-oriented mindset to every challenge.

• Is open to occasional travel (less than 5%) to engage with suppliers and partners.

Are you ready to be part of something historic? Join Intel's world-class packaging team in Chandler, Arizona and help shape the future of semiconductor technology. Apply today and take the next bold step in your engineering career.

• PhD degree in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Chemistry, or a closely related field.
• 1+ years of relevant experience in a science or engineering field (obtained through academic research, internships, or professional experience).

• 1+ years of experience in:
• Engineering troubleshooting and analytical problem-solving on integrated technology challenges, working within broad, cross-functional engineering teams.
• Owning and operating process tools, with knowledge of Statistical Process Control (SPC), Process Change Systems (PCS), Request for Change (RFC) processes, equipment troubleshooting, statistical design of experiments, and process development.
• Variety of organic and inorganic materials and processes, including characterization techniques such as DSC, TGA, D/TMA, Titration, ICP-MS, FTIR, XPS, TOF-SIMS, EDX, and SEM.
• Statistical data analysis tools including JMP, JSL, and Python; familiarity with relational database structures and machine learning concepts.

This role will require an on-site presence. 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.