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Co-op - Recording Electronics Data Analytics & Optimization

Job in Rochester, Olmsted County, Minnesota, 55905, USA
Listing for: Western Digital
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Job Description & How to Apply Below
Position: Spring Co-op - Recording Electronics Data Analytics & Optimization
Company DescriptionWD 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.

Job Description

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 effortsDATA 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.

QualificationsREQUIREDCurrently 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 datasetsPREFERRED SKILLSCoursework 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 committed to providing equal opportunities to all applicants and employees and will not…
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