GPU/AI Application System Software Engineer Intern

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. The GPU/AI System Technology and Engineering Team is committed to developing highly optimized OS and system software to support deep learning and high-performance computing (HPC) workloads in large-scale data centers. We focus on delivering core software components for the next generation of AI and HPC platforms, benchmarks, and fine-tuning performance. Our work spans the entire hardware/software stack, from GPU drivers to deep learning frameworks, to ensure peak performance across all layers. 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 systems and newly emerged technology in computing, networking and storage. You will gain remarkable GPU architecture, system software development and GPU validation experience in the most advanced hardware infrastructure on a massive scale. We are looking for talented individuals to join us for an internship in 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into 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. This Internship Program runs for 12 weeks beginning in May/June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23 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 ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. RESPONSIBILITIES - Design and implement performance benchmarks and testing methodologies to evaluate system performance - Develop benchmark tools and performance optimization of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC). - Develop Python scripts to automate the testing of various benchmark tools. - Collaborate with internal teams to identify system bottleneck, debug and improve performance issues.

Minimum Qualifications: - Currently pursuing a Bachelor's, Master's, or PhD degree within Computer Engineering in Electrical Engineering, Computer Engineering, Computer Science or related majors. - Background with GPU/CPU benchmarking - Familiar with ML/DL techniques, algorithms and frameworks like TensorFlow or PyTorch. - Exposure to testing automation for various applications. - Proficiency in Python and C/C++ - Hands-on experience with Linux based systems - Ability to work independently and complete projects from beginning to end and in a timely manner Preferred Qualifications: - Strong background in one of the following fields: High Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA) or ML for Systems, and Distributed Storage. - Experience in AI model development, training, evaluation and deployment on Cloud, Cluster or on-premises. - Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM) - Experience with development applications with CUDA programming - Linux kernel development experience, such as networking and device drivers etc. - Familiar with git workflow. - Exposure to testing automation for various applications. - Experience with complex system-level debugging is invaluable. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2