Spring Co-op - Recording Electronics Data Analytics & Optimization

Spring Co-op - Recording Electronics Data Analytics & Optimization Intern Job Type (exemption status): Non-Exempt position - Please see related compensation & benefits details below Salary Range: 22.84-30.45 Business Function: Engineering Support Work Location: Rochester Office--LOC_HGST_PLR Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.

ESSENTIAL DUTIES AND RESPONSIBILITIES Support development and testing of hardware abstraction layers and engineering commands for channel hardware applications Assist in writing and maintaining validation scripts used as developer and debug tools Contribute to test scripts for use within Continuous Integration environments Participate as an active member of an Agile scrum team supporting Enterprise-level HDD development Collaborate with internal product teams to support integration and performance validation efforts DATA SCIENCE & ANALYTICS RESPONSIBILITIES Apply machine learning techniques to explore opportunities for test time optimization and HDD read/write performance improvement Assist in planning, executing, and analyzing channel verification experiments and failure analysis investigations Support development of automated data pipelines to collect, clean, and analyze test result datasets from channel verification operations Learn and apply statistical modeling and anomaly detection methods to help identify failure modes in magnetic recording channel components Create data visualizations and contribute to reports that communicate channel performance findings to engineering stakeholders This role is part of WD's early career development program. WD's early career development program is ideal for individuals at the early stages of their professional career. Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities of this role are typically aligned with candidates who have approximately 0–2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply.

REQUIRED Currently pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field Right to work in the US without requiring Western Digital to commence or sponsor an immigration case in order to employ you at any point in the future is required Working knowledge of C/C++ or Python programming languages Familiarity with object-oriented programming principles Exposure to machine learning concepts, including data preparation, model training, and evaluation Eagerness to learn signal processing concepts and emerging technologies Strong technical communication skills and ability to work effectively in a collaborative team environment Self-motivated with a desire to grow professionally and take on new challenges Strong analytical and problem-solving skills with the ability to work with complex datasets PREFERRED SKILLS Coursework or project experience with embedded systems or hardware/software integration Familiarity with TCL, R, or MATLAB Basic knowledge of Hard Disk Drive (HDD) functionality or storage systems Hands-on experience with oscilloscopes or other measurement instrumentation Additional Information Western Digital is