💻 Google Software Engineering Internship for PhD Students – Summer 2026 (Paid, $113,000–$150,000/year equivalent) 🇺🇸✨

Join one of the world’s most innovative tech environments and build the future of computing with Google!

🏢 About the Internship

Google invites applications for the Software Engineering Internship (PhD, Summer 2026) across multiple U.S. cities. This 12–14 week paid internship gives PhD students the opportunity to work on high-impact projects alongside world-class engineers and researchers.

Interns will work on cutting-edge technologies such as AI, distributed systems, machine learning, algorithms, databases, and cloud infrastructure, contributing to Google’s global products — from Search and YouTube to Android and Cloud.

You’ll gain experience designing, testing, and deploying scalable solutions while developing your technical, research, and teamwork skills in a collaborative environment.

📍 Internship Details

• Locations: Multiple U.S. sites — Mountain View, CA; Atlanta, GA; Austin, TX; New York, NY; Seattle, WA; Boston, MA; Washington D.C., and more.
• Duration: 12–14 weeks (Summer 2026)
• Type: Paid, full-time
• Eligibility: PhD students (penultimate year)
• Application Review: Rolling basis (early applications strongly encouraged)
• Application Deadline: February 27, 2026 (may close earlier if full)

💰 Compensation

• US base salary range: $113,000–$150,000/year equivalent (pro-rated for internship period)
• Additional benefits:
  • Relocation support (where applicable)
  • Professional mentoring and executive talks
  • Community-building and networking opportunities

🧠 Roles & Responsibilities

Software Engineering Intern:

• Work on projects critical to Google’s core needs.
• Design, develop, and maintain scalable and reliable software systems.
• Apply advanced computer science concepts to solve real-world problems.
• Collaborate in teams to deliver impactful products and research outcomes.

Site Reliability Engineering (SRE) Intern:

• Build automation tools and infrastructure to ensure high system reliability.
• Develop monitoring solutions to maintain system performance.
• Troubleshoot, extend, and secure systems on a massive scale.

🎓 Eligibility Criteria

Minimum Requirements:

• Currently pursuing a PhD in Computer Science or related field.
• Proficient in one or more programming languages: C, C++, Java, or Python.

Preferred Qualifications:

• Enrolled at a U.S. university and available full-time for 12 weeks.
• Returning to a degree program after internship completion.
• Experience with research in one or more of the following:
  • Algorithms
  • Architecture
  • Artificial Intelligence & Machine Learning
  • Compilers & Distributed Systems
  • Databases & Data Mining
  • Systems & Networking
• Strong understanding of data structures, algorithms, and software design.

🌍 Locations

Opportunities available in:
Mountain View (CA), Sunnyvale (CA), San Francisco (CA), Seattle (WA), New York (NY), Boston (MA), Atlanta (GA), Austin (TX), Chicago (IL), Boulder (CO), Pittsburgh (PA), Los Angeles (CA), San Diego (CA), Portland (OR), and other major Google campuses.

🧩 How to Apply

1. Prepare the following documents in PDF format:
   • Updated CV/Resume (include anticipated graduation date – MM/YY).
   • Official or unofficial transcript (in English).
2. Apply via Google Careers:
   👉 Official Application Form
3. Learn more about the role:
   🌐 Full Job Description

📌 Important: Apply early — positions fill before the deadline. Applicants are assessed on a rolling basis.