Engineering & Technical Internship Roles - HP Solutions (HPS)
The following posting is a pipeline requisition, meant to accumulate candidates for 2027 Summer Internships. Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc.
This opportunity is intended for conversion to a full-time role that will not offer work authorization sponsorship in the future (full-time conversion pending performance evaluation post internship and available headcount). Interested candidates must be currently eligible to work in the US AND must not require work authorization sponsorship in the future. HP, Inc. will not provide any assistance or sign documentation in support of immigration sponsorship including Curricular Practical Training (CPT) or Optional Practical Training (OPT).
Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe.
HP brings together a portfolio that spans printing, personal computing, software, and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.
The Program:
Our future success depends on the innovation and fresh ideas students bring to HP, Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP, inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way.
Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges. Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!
The Team:
HP Solutions (HPS) is a global organization within HP that helps customers unlock the full value of their technology investments through innovative solutions, services, and support. Leveraging HP's industry-leading portfolio of computing, print, and collaboration technologies, HPS enables organizations to create productive, connected, and secure workplace experiences. From deployment and lifecycle management to customer support and digital workplace solutions, HPS partners with customers at every stage of their technology journey to drive business outcomes, enhance employee experiences, and accelerate innovation.
Areas of Interest:
Quality Engineering:
Quality Assurance, Root Cause Analysis, Testing, Process Improvement, Data Analysis, Excel
Mechanical Engineering:
CAD, 3D Modeling, Mechanical Design, Prototyping, Materials, Engineering Analysis
Electrical Engineering:
Circuit Design, Electronics, PCB Design, Electrical Testing, MATLAB, Python
Hardware Engineering:
Hardware Design, Circuit Analysis, PCB Development, Hardware Testing, Debugging, Electronics
Embedded Systems / Development:
C/C++, Python, Microcontrollers, Firmware, Embedded Systems, Debugging, Git
Software Development:
Python, Java, C/C++, JavaScript, Git, Software Testing, Data Structures
Systems Engineering:
System Design, Requirements Analysis, Integration, Testing, Troubleshooting, Technical Documentation
Manufacturing Engineering:
Manufacturing Processes, Process Improvement, Automation, Quality, CAD, Data Analysis
Test Engineering:
Software/Hardware Testing, Test Automation, Debugging, Troubleshooting, Python, Data Analysis
Firmware Engineering:
C/C++, Embedded Systems, Microcontrollers, Firmware Development, Debugging, Git
Cybersecurity:
Networking, Linux, Python, Cybersecurity Fundamentals, Encryption, Security Testing
Data Science / Analytics:
Python, SQL, Data Analysis, Statistics, Machine Learning, Excel