GPU/AI Application Platform Engineer Intern (Server Platform) - 2026 Fall (BS/MS)

Responsibilities

ByteDance Server platform team is responsible for architecting, designing, and building the best server and storage system to meet the requirements of high-performance, low cost and easy to operate. By joining this team, you will work with the best engineers and talents in this industry and have a broad opportunity to get in touch with the latest AI application system and newly emerged technology in computing, storage and silicon validation. You will gain remarkable hardware architecture, development and validation experience in the most advanced hardware infrastructure at a massive scale.

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

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. This Internship Program runs for 12 weeks beginning in August/September 2026. Successful candidates must be able to commit to one of the following internship start dates below:

(Select below options for Fall)
- 8/10/2026
- 8/24/2026
- 9/8/2026
- 9/21/2026

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

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:
- Develop application benchmarks, tools and performance optimization method for GPU/AI system.
- Identify the system bottleneck/opportunity with deep system-level data-driven study, explore innovative options through SW-HW co-design, and lead them towards implementation.
- Develop GPU/AI system TCO model, based on application benchmark and performance optimization.
- Work with industry consortiums and open standard committees to investigate the emerging standards or technologies, and contribute our research results to the industry.
- Work with our technology partners and suppliers to setup POC or prototypes to evaluate and test the new technologies or architectural designs.

Qualifications

Minimum Qualifications:
- Must be able to commit to a 12-week full-time work period during Fall 2026
- Thesis in GPU/AI platform architecture and/or application performance optimization design or software hardware co-design.
- Deep understanding of computer system architecture, especially on GPU/AI SoC or Platform Architecture, Interconnect Fabric, and Memory sub-system.
- Experienced in GPU/AI system application performance optimization or software hardware co-design.
- Strong knowledge and proficiency in software development in C/C++, scripting languages such as Python.
- Understand the implementation of GPU/AI virtualization technology, deep learning architecture, and distributed system.