Qualcomm
Product Management Internship - Summer 2027
San Diego, California · On-site · Internship · Posted Sep 18, 2026
- Experience
- 1+ years of academic or project experience required; 2+ years in a technical role preferred.
- Education
- Currently enrolled in a bachelor’s, master’s, or Ph.D. degree program in Computer Engineering, Computer Science, Electrical Engineering, Business, or a related field.
- Visa sponsorship
- The aligned potential future role is not eligible for Qualcomm immigration sponsorship. Some candidates may require an export license to work.
About the job
Supports product management work by analyzing business and customer data, reporting findings, assisting ecosystem partnerships, and identifying product or process opportunities.
What you'll do
- Gather and analyze data, generate reports, and present findings to senior management.
- Support business development and partnerships across the ecosystem; communicate complex information to diverse audiences.
- Review customer requirements, identify gaps in Qualcomm offerings, and suggest new products or processes.
What they ask for
- Currently enrolled in a bachelor’s, master’s, or Ph.D. program in Computer Engineering, Computer Science, Electrical Engineering, Business, or a related field.
- Available for 11–14 weeks during Summer 2027 (May–September).
- Expected graduation date of November 2027 or later.
- 1+ years of academic or project experience in product marketing and data analysis, requirement gathering and interpretation, data engineering and analytics, or listed tools.
Nice to have
- Academic or project experience in product marketing, silicon technology, computer processing, and AI processing; programming experience in C++, Python, C, or Java.
- Currently pursuing a Master’s or MBA, or completed a bachelor’s degree or minor in Electrical Engineering or Computer Engineering; 2+ years of experience in a technical role.
Pay
$17.00 - $98.00 (hourly pay; currency not stated)
Tools
Excel, Pivot Tables, PowerPoint, C++, Python, C, Java
AI focus
Preferred academic or project experience in AI processing.
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