HP
Electrical/Hardware Engineering Intern
Corvallis, Oregon, United States of America · Internship · Posted Sep 28, 2026
- Experience
- No more than 24 months of professionally related work experience; internships, teaching assistance, research work, and military experience are excluded.
- Education
- Currently pursuing a Ph.D. in Computer Science, Mechanical Engineering, Chemistry, Chemical Engineering, Data Science, or a related technical field; must be enrolled full time at an accredited university.
- Visa sponsorship
- Must be eligible to work in the U.S. and not require future sponsorship. HP will not assist with or sign documentation supporting immigration sponsorship, including CPT or OPT.
About the job
Build connected datasets and data workflows for R&D, improving data integration, validation, engineering processes, and AI/ML-driven insights.
What you'll do
- Build datasets and repeatable data pipelines; integrate data from multiple sources.
- Develop data-quality validation and Python/SQL solutions to streamline engineering workflows.
- Apply AI/ML to experimental data, document results, and collaborate with technical stakeholders.
What they ask for
- Currently pursuing a Ph.D. in a listed or related technical field and enrolled full time at an accredited university.
- No more than 24 months of professionally related prior work experience, subject to the stated exclusions.
- Experience with programming, data analysis, databases, or engineering data workflows; understanding of data integration, validation, and software-development principles.
- Able to obtain U.S. work authorization in 2027 and not require sponsorship in the future.
Pay
USD $45to $52 per hour (base pay)
Tools
Python, SQL, SQL Server, Pipeline Pilot, GitHub Copilot
AI focus
Apply artificial intelligence and machine-learning methods to experimental data to identify patterns and generate insights.
Model-written summary · the original posting is authoritative