Software Engineer Intern (Ads Infrastructure) - 2026 Summer (BS/MS)

Software Engineer Intern (Ads Infrastructure) - 2026 Summer (BS/MS) at TikTok in San Jose, CA.

Role Summary

Summer Start Dates

• May 11th, 2026
• May 18th, 2026
• May 26th, 2026
• June 8th, 2026
• June 22nd, 2026

Responsibilities

Global Monetization Product and Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our team develops a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, search, vertical solutions, creative solutions, and business integrity.

We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order your apply. The application limits is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art software engineering projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Work with product and business teams on product vision.

Requirements

• Currently pursuing an Undergraduate/Master in Computer Science or a related technical discipline.
• Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages, including but not limited to: Go, C/C++, Python, and Java.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.
• Deep understanding of computer architectures, data structures, and algorithms.
• Very strong teamwork skills (e.g. communication, ownership, empathy, honesty).
• Must be able to commit to a 12-week full-time work period during Summer 2026.

Preferred Qualifications

• -Experience in the advertising, e-commerce or gaming industry.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.