AI-Driven Software Engineer Intern

Salesforce; Bellevue (WA); On-site; USD 59,000 - 72,000; Full time

Benefits offered by this job

Comprehensive onboarding

Engineering-specific training

Executive Speaker Series

Volunteer Time Off

Professional Development Workshops

Employee Resource Groups

Ongoing Recruiter Support

Job summary

Salesforce is seeking bright university students for a fixed-term internship that focuses on AI-powered experiences and real-world project work. You will collaborate with engineers, learn through structured mentorship, and contribute to scalable solutions used by customers worldwide.

You'll gain hands-on exposure to cutting-edge tools, participate in onboarding, and attend engineering-specific training and professional development sessions—while exploring career paths in software, data, and AI

Qualifications

• Enrolled in BS/MS in CS or related field.
• Returning to school after Summer 2027 to complete degree.
• Enrolled in North America college or university.
• Strong understanding of OOP, algorithms, and data structures.
• Hands-on AI development tools like Copilot, Cursor, Claude Code.
• AI-first mindset for learning and problem solving.

Responsibilities

• Influence the future of Salesforce products and AI experiences.
• Receive mentorship from seasoned engineers while contributing to solutions.
• Engage in projects that impact millions globally.

Skills

OOP & design

Algorithms

Data structures

AI tools

GitHub Copilot

Cursor

Claude Code

CS fundamentals

Team player

Communication skills

Education

BS/MS in Computer Science or related field

Tools

GitHub Copilot

Cursor

Claude Code

Gemini

Job description

Salesforce is seeking bright university students for a fixed-term internship that focuses on AI-powered experiences and real-world project work. You will collaborate with engineers, learn through structured mentorship, and contribute to scalable solutions used by customers worldwide.

You'll gain hands-on exposure to cutting-edge tools, participate in onboarding, and attend engineering-specific training and professional development sessions—while exploring career paths in software, data, and AI