Advanced Packaging Process Integration Engineer

Intel Corporation•Rio Rancho, NM

8d•$120,860 - $170,630•Onsite

About The Position

As a Process Integration and Yield Engineer, you will play a pivotal role in driving Intel's mission to deliver world-class semiconductor solutions. This role offers an exciting opportunity to define and execute technology transfer roadmaps, enabling the seamless integration of advanced packaging and backend assembly-test processes from new product introduction (NPI) to high-volume manufacturing (HVM) ramp. You will lead critical yield and quality improvement initiatives, ensuring optimal manufacturing performance. Your expertise will contribute to Intel's commitment to delivering innovative and reliable products that power the world's cutting-edge technologies.

Requirements

Bachelor's degree in Engineering, Material Science, Physics, or a related field with 4 or more years of relevant experience, or a Master's degree in Engineering, Material Science, Physics, or a related field with 3 or more years of relevant experience, or a PhD in Engineering, Material Science, Physics, or a related field with no experience.
Process integration, yield analysis, and quality management in TD or high-volume manufacturing environments.
Semiconductor advanced packaging and backend assembly-test process development.

Nice To Haves

Data analysis tools and programming languages such as SQL, Python, or related coding tools.
Proven ability to lead cross-functional problem-solving initiatives and drive results in a complex and fast-paced environment.
Strong communication skills with the ability to effectively collaborate across diverse teams and stakeholders.
Experience in value engineering and an innovative mindset to identify cost-effective solutions.
A demonstrated track record of mentoring and developing technical talent in a professional setting.

Responsibilities

Define and establish process flows, procedures, and equipment configurations to enable successful technology transfer.
Analyze large volumes of structured and unstructured data, extracting actionable insights using statistical and machine learning methods, as well as coding tools such as SQL and Python.
Drive yield improvement initiatives by identifying and resolving low-yield issues, engaging with both internal and external stakeholders.
Implement continuous improvement programs to proactively prevent quality, line yield, and sort yield excursions.
Perform quality and reliability risk assessments for manufacturing materials and process changes.
Mentor and develop technical talent within the team, fostering a culture of innovation and collaboration.
Act as a change agent to align organizational goals with technical strategies, driving innovation and leadership in the semiconductor industry.