Software Research Engineering - (PhD Intern)

Intel•Hillsboro, OR

1d•$149,598 - $149,602•Onsite

About The Position

As a Software Solutions Engineering PhD Intern, you will contribute to the development of integrated software solutions tailored to customer and platform needs. Your work will involve collaborating with cross-functional teams to combine system-level understanding with application development, enabling scalable and optimized solutions. You will also build essential skills and explore future career opportunities through hands-on experience and impactful projects that align with Intel's business goals. The Intel Foundry team is dedicated to driving innovation and delivering cutting-edge solutions to meet customer and platform requirements. This group focuses on enabling Intel's mission of creating world-changing technology, contributing to advancements in hardware, firmware, and software engineering. Joining this team means becoming part of a collaborative and forward-thinking environment that supports Intel's vision and fosters your professional growth.

Requirements

Must be pursuing a PhD in Computer Science or a related field.
Strong computational capabilities and problem-solving skills.
Proficiency in Python and SQL for programming, analytics, and reporting.
Basic understanding of semiconductor defect analysis workflows.

Nice To Haves

Experience with PDF Extension is a plus but not required.
Knowledge of JSL and Power BI for programming, analytics, and reporting.
Familiarity with industry trends or prior exposure to analytic tools is advantageous.
Strong communication and teamwork skills, with a focus on collaboration across disciplines.
Enthusiasm for learning and applying new concepts in a fast-paced and innovative environment.

Responsibilities

Develop integrated software solutions by combining system-level understanding with application development.
Assist in solution architecture design, feature prototyping, and performance analysis for diverse workloads and environments.
Collaborate with hardware, firmware, and customer engineering teams to deliver scalable and optimized solutions.
Refactor, consolidate, and standardize yield reports.
Develop frameworks to optimize interconnectivity and report consolidation, enabling developer collaboration.
Create design UI style guidelines and assets for reporting tools.
Explore new analytic capabilities to provide additional impact on software and system performance.