Software Engineer Graduate (Media Platform) - 2026 Start (BS/MS)
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About this role
The Media Platform team powers the core infrastructure behind TikTok’s massive video ecosystem, supporting video transcoding, storage, and delivery at global scale. Our mission is to maximize user experience and minimize cost through cutting-edge systems and machine learning optimizations. We work across the stack with client, product, algorithm, and infrastructure teams to ensure fast, reliable, and intelligent video delivery for billions of users.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Collaborate with Product, Infra, Data, and Algorithm teams to build reliable systems for global video delivery and storage.
- Improve system efficiency and resilience through scalable architectures and reusable software components.
- Identify and mitigate security, privacy, and performance bottlenecks in a complex, distributed media pipeline.
- Help evolve internal developer tools and frameworks to accelerate iteration and maintain quality.
Qualifications
Minimum Qualifications
- Bachelor's or Master’s degree in Computer Science, Computing Engineering, or related fields.
- Solid programming skills in Golang, C, C++, or other system-level languages.
- Strong analytical thinking and problem-solving ability.
- Familiarity with software engineering best practices (e.g. version control, code reviews, unit testing, debugging, profiling).
Preferred Qualifications
- Internship or project experience with large-scale backend systems, distributed computing, or infrastructure.
- Exposure to video processing, media systems, CDN, or cloud storage services.
- Strong communication and cross-functional collaboration skills.
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