Spring Co-op: Recording Electronics Data Analytics

Job Description

Core 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
• Take part as an active member of an Agile scrum team supporting Enterprise-level HDD development
• Work with internal product teams to support integration and performance validation efforts

Data Science and 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, which suits individuals early in their professional careers. Participants receive foundational training through structured onboarding, mentorship, and a curated development curriculum. The responsibilities 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.

Qualifications

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 now or in the future
• 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

Compensation and Benefits

• Pay within the salary range may depend on factors including education, qualifications, certifications, experience, skills, performance, geographic location, shift, internal and external equity, and business needs.
• The salary range is the expected compensation for this role at the time of posting. Actual pay may be higher or lower, and the range applies only to jobs performed in California, Colorado, New York, or remote jobs performable in those states. The range may change over time.
• Non-exempt employees are eligible for overtime pay under company policy and applicable law, and may be eligible for shift differential pay.
• Eligibility for bonuses under either the Short Term Incentive Plan (STI Plan) or the Sales Incentive Plan (SIP) depends on role and performance. Some roles may be eligible for the annual Long-Term Incentive (LTI) program, which includes RSUs or cash equivalents. RSU awards may also be available to eligible new hires.
• Benefits include paid vacation, paid sick leave, medical, dental and vision insurance, life, accident and disability insurance, flexible spending and health savings accounts, an employee assistance program, supplemental voluntary programs, tuition reimbursement, transit, the Applause Program, an employee stock purchase plan, and the WD Savings 401(k) Plan.

WD and its subsidiaries will never request payment as a condition for applying or receiving an offer. Report any such request to the WD Ethics Helpline or [email protected].

Company Description

WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data, and every model and system generates data that must be stored, managed, and made accessible over time.

The company combines deep engineering expertise with global-scale manufacturing to deliver storage systems for hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

The work involves real systems at real scale. Join us and help shape the future of data.