Summer/Fall 2027 Co-Op: Channel Integration
Western Digital · Engineering
- Hours
- Intern
- Where
- Rochester, MN
- Posted
- Sep 11
As a Read/Write Channel Integration Engineer, you will work with industry leading Hard Disk Drive (HDD) technology, evaluating new channel features, performing failure analysis, and developing scripts and tools to test an advanced digital signal processing chip, used for data recording and readback.
Essential Duties & Responsibilities:
What you'd do
- Integration of vendor channels to maximize HDD read/write performance
- Test HDDs in a hands on, lab-based environment, using oscilloscopes to aid in failure analysis (FA)
- Develop and execute hardware test plans; summarize and present results within and outside channel team
- Software skills required to support and develop effective test tools
- Work closely with vendor technical support teams and our internal Western Digital product development teamsThis 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.
What they want
- Currently pursuing BS or MS degree in Electrical Engineering, Computer Engineering, or equivalent experience
- Persistence on problem/issue resolutionSKILLS
- Excellent communication skills and a good team player
- Strong programming skills (Python, C/C++, Tcl, etc.) preferred
About Western Digital · Engineering
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.