Software Engineer, Storage System

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo 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. ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment, and enterprise services - over 2.5 billion people interact with ByteDance products, including TikTok 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. Team Intro Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements. With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US. Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China. The Machine Learning (ML) System sub-team combines system engineering and the art of machine learning to develop and maintain massively distributed ML training and Inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI In our team, you'll have the opportunity to build the large-scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision-making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction. What You’ll Be Doing 1. Build a unified data storage format and query engine in different scenarios (high availability/high throughput, large volumn/sequential or random access). 2. Build an efficient system for model parameter management, sharding, and deduplication for LLMs; 3. Develop multi-level/hierarchical storage architecture, not limited to HBM/DDR/disk; 4. Optimize the training system for availability and fault tolerance; improve the data consistency, and capacity of the system; 5. Research and implement state of the art indexing/storage structures for machine learning on latest hardware

Minimum Qualifications 1. Proficient in the use of C++/Python in the Linux environment; 2. Proficient in the design, development, maintenance and continuous optimization of large-scale distributed systems, and be able to identify potential problems in complex systems; 3. Have participated in optimizations for parameter-server-like systems, or indexing structure of query engines; or have experience in using/optimizing large-scale distributed storage systems such as HDFS and PFS; 4. Strong communication skills and develop new solutions based on issues that arise. Preferred Qualifications 1. Understand open source storage/engine projects such as Redis, RocksDB, Presto, etc.; understand common Machine learning file storage formats such as parquet, TFRecord, IndexRecordIO, etc 2. Familiar with one of the machine learning frameworks (TensorFlow/PyTorch/Jax); 3. Have experience in one of the following fields: database systems, distributed storage, AI infrastructure, HW/SW co-design, High performance computing, ML hardware architecture (GPU, accelerators, networking), machine learning frameworks, operating systems; 4. ACM/OI competitive programming experiences. 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 enrich life. 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 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.