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).
About Us
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.
Job Summary
This internship will focus on building connected, end-to-end datasets and workflows that enable more efficient R&D operations and decision-making. The intern will improve data and process flows across experimentation, data integration, data validation, and AI/ML-driven insight generation.
Responsibilities
Design and build connected datasets and repeatable data pipelines for R&D applications.
Integrate data from multiple sources and improve data-joining processes.
Develop validation methods that improve data quality, consistency, and reliability.
Create Python and SQL solutions that streamline engineering workflows and reduce manual tasks.
Apply AI and machine-learning methods to experimental data to identify patterns and generate insights.
Document technical solutions, results, and recommended process improvements.
Collaborate with engineering, software, and data stakeholders to deliver project objectives.
Education and Experience Required
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.
Has no more than 24 months of prior work experience professionally related to the intern requisition they are applying to (not including internships, teaching assistance, research work, or military experience).
Able to obtain work authorization in the United States in 2027, and not require sponsorship in the future.
Experience with programming, data analysis, databases, or engineering data workflows.
Understanding of data integration, validation, and software-development principles.
Strong analytical, project-management, and technical communication skills.
Knowledge and Skills
Python and SQL.
SQL Server and data-pipeline concepts.
Data analysis and visualization.
Artificial intelligence and machine learning.
Pipeline Pilot, GitHub Copilot, or similar development and AI tools.
We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you.
HP is an equal opportunity employer.
The pay range for this position is $45 to $52 per hour (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits
HP offers a comprehensive benefits package for this position, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including:
4-12 weeks fully paid parental leave based on tenure
13 paid holidays
15 days paid time off (US benefits overview)
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job - Administration
Schedule - Full time
Shift - No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO)
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"
From Hewlett Packard's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
