Fall Intern - IT
Listed on 2026-07-03
-
IT/Tech
IT Business Analyst, AI Engineer (Applied/Software), Data Engineering
- Job Type (exemption status):
Non-Exempt position - Please see related compensation & benefits details below - Salary Range:
- Business Function:
Engineering Support
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 peoplewho want to build, solve, and operate at that level.
Join us and let’s shape the future of data.
Job DescriptionWe are seeking a detail-oriented, analytical, and enthusiastic IT Intern for Mfg. applications domain to join our dynamic team in San Jose office, United States. This internship opportunity offers hands‑on experience in supporting our efforts to transform Mfg./MES applications from legacy to modern platforms and to automate business processes and IT systems using the latest technologies including AI/ML tools. As a member of our IT team, you will collaborate with our managed services provider and internal stakeholders to identify automation opportunities, help design, develop and test IT solutions, and promote self‑service capabilities to end users.
This is a hands‑on role ideal for someone eager to apply technical and communication skills to real‑world challenges, drive innovation, and make a tangible impact within a global organization.
- Assist in identifying and analyzing our Mfg. IT application issues and help to fix or improve them.
- Collaborate with cross‑functional teamsto gather requirements for our ongoing Mfg./MES IT projects.
- Contribute to the design and implementation of automated solution using various tools and technologies.
- Support development and delivery of communications and training materials to engage end users and increase adoption of new self‑service options.
- Support the team in monitoring and optimizing existing automated processes
- Work with IT teams and managed service providers to identify and document high‑priority automation opportunities.
- Stay updated on emerging automation and AI trends and best practices to inform our MES transformation roadmap.
- Drive personal excellence - understanding self, professional presence & accountability, personal well‑being, time management, change agility
- Invest in your career - learning mindset, performance goals and feedback, personal career development, seeking insights, expressing gratitude
- Communicate &collaborate - relationships & connectedness, team player, sharing your voice, global awareness, effective presentations
- Build an innovative mindset - business essentials, data acumen, digital mindset, creative thinking, problem solving
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 approximately0–2+ years of relevant professional experience, though candidates of all experience levels are encouraged to apply.
Required:
- Currently pursuing a bachelor's or a master's degree in Computer Science, Information Technology, or a related field
- Basic understanding of process automation, scripting, or workflow tools.
- Knowledge of IT infrastructure and cloud computing platforms
- Strong analytical, problem‑solving skills
- Excellent attention to detail and organizational abilities
- Effective communication skills and ability to work in a team environment
- Eagerness to learn and adapt to new technologies (including emerging AI/ML tools) and methodologies quickly
- No prior work experience required; however, relevant academic projects or personal initiatives…
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