Cloud Acceleration Engineer Intern

About the Team The ByteDance DPU (Data Processing Unit) team is building the foundational computing infrastructure for ByteDance and Volcano Engine Public Cloud. Our mission is to advance the architecture, development, and research of next-generation software-hardware technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans - Cloud virtualization & hypervisors - High-performance user-space network protocols (DPDK, RDMA, etc.) - High-speed interconnect and virtual switching - Distributed storage acceleration - GPU virtualization and scheduling for AI/ML workloads We work at the intersection of software systems, distributed infrastructure, and custom hardware acceleration, shaping the next wave of cloud-scale computing. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance Internships at ByteDance 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. It runs for 12 weeks. 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 ByteDance 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). Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Responsibilities - Design and develop DPU network software with a focus on high performance, low latency, and reliability. - Collaborate with hardware teams to build software-hardware co-design solutions for networking and storage acceleration. - Explore AI/ML infrastructure acceleration, leveraging DPUs, GPUs, and custom hardware to optimize distributed training and inference. - Drive end-to-end performance optimization, from OS kernels and drivers to user-space runtime systems. - Contribute to architecture design, technical proposals, and long-term research directions. Minimum Qualifications - Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field - Able to commit to working for 12 weeks during Summer 2026 - Proficiency in C/C++ development and debugging. - Strong Linux systems development experience. - Solid understanding of compute, network architecture, and operating systems. - Background in at least one of: software-hardware co-design, distributed systems, high-performance networking, or AI/ML systems. - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications - Intent to return to degree-program after the completion of the internship - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications - High levels of creativity and quick problem-solving capabilities - Proven experience designing and building AI/ML infrastructure related but not limited to inference kv cache system, data preprocessing system. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy