Qualcomm
Sales & Business Development Internship - Summer 2027
San Diego, California · On-site · Internship · Posted Sep 30, 2026
- Experience
- No specific years stated.
- Education
- Currently enrolled in a Bachelor's or Master's degree in Business, Economics, Engineering, Data/Analytics, or related field.
- Visa sponsorship
- The internship aligns to a potential role that is not eligible for Qualcomm immigration sponsorship.
About the job
Supports sales and business development by researching accounts and markets, preparing customer materials, tracking sales operations, and coordinating partner and marketing activities to scale on-device and edge AI solutions.
What you'll do
- Research target accounts and competitive markets; prepare stakeholder maps and concise briefings with recommendations.
- Create customer-ready collateral and support sales operations, including funnel and design-win tracking, forecasting, account management, and KPI dashboards.
- Support partner meetings and coordinate marketing campaigns, events, and announcements; track campaign ROI.
What they ask for
- Currently enrolled in a Bachelor's or Master's degree in Business, Economics, Engineering, Data/Analytics, or a related field.
- Available for 11–14 weeks during Summer 2027 (May–September); expected graduation date of November 2027 or later.
- Proficiency with spreadsheets and presentations (Excel/Sheets, PowerPoint/Slides); familiarity with CRM concepts.
- Strong written and verbal communication, structured problem-solving, and executive-level summarization.
Nice to have
- Interest in the technology and semiconductor industries; exposure to semiconductors, enterprise software, cloud/AI, or embedded/edge solutions.
- Salesforce or similar CRM, basic dashboarding (Tableau/Power BI), hardware architecture knowledge, or executive storytelling, forecasting, and financial modeling experience.
Pay
$17.00 - $98.00 (currency and pay period not stated; pay range)
Tools
Excel/Sheets, PowerPoint/Slides, Salesforce, Tableau, Power BI
AI focus
Partner with OEMs, ISVs, SIs, and cloud providers to scale on-device and edge AI solutions.
Model-written summary · the original posting is authoritative