HP
Enterprise Operations Software Internship
Spring, Texas, United States of America · Internship · Posted Aug 21, 2026
- Experience
- No more than 24 months of professionally related prior work experience; internships, teaching assistance, research work, and military experience are excluded.
- Education
- Third year of bachelor's degree completed or first year of master's program completed; typically a technical degree specialization.
- Visa sponsorship
- Must be able to obtain U.S. work authorization in 2027 and must not require sponsorship in the future. HP will not provide immigration sponsorship assistance or sign supporting documentation, including for CPT or OPT.
About the job
A 12-week summer internship applying software, analytics, and supply-chain skills to improve HP’s supply-chain processes and systems.
What you'll do
- Analyze supply-chain processes and data, identify improvement opportunities, and recommend data-driven solutions.
- Collaborate across teams and support initiatives such as inventory management, demand planning, order fulfillment, and sustainability.
- Research and evaluate supply-chain practices and technologies; report on KPIs and initiative progress.
What they ask for
- Be enrolled full time at an accredited university.
- Have completed the third year of a bachelor's degree or first year of a master's program.
- Have no more than 24 months of professionally related prior work experience, excluding internships, teaching assistance, research work, and military experience.
- Be able to obtain U.S. work authorization in 2027 and not require sponsorship in the future.
Nice to have
- Preferred majors: Computer Science, Software Engineering, or Computer Engineering.
- Knowledge or interest in data analytics, data science, software applications engineering, software development operations, product management, or technical program management.
Pay
$31 to $37 per hour (USD, hourly pay; applies to US candidates only)
Tools
Python, Java, C++, React JS, Node JS, RESTful and GraphQL APIs, AWS, SQL
AI focus
The posting mentions advanced tools/artificial intelligence and lists Automation and AI among data science and analytics knowledge areas; no specific AI project is described.
Model-written summary · the original posting is authoritative