GPU/AI Application Platform Engineer Graduate (Server Platform)- 2025 Start (PhD)

About ByteDance 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. --- About the team 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 architect, development and validation experience in the most advanced hardware infrastructure at a massive scale. We are looking for a self-motivated GPU/AI Application Platform Architect with focus on giant model system optimization. We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance. Successful candidates must be able to commit to one of the following start dates below: 1. January 15, 2025 2. February 5, 2025 3. March 4, 2025 4. May 20, 2025 5. June 17, 2025 6. July 15, 2025 7. August 12, 2025 8.September 3, 2025 We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to ByteDance and its affiliates' jobs globally. Responsibilities: - Develop application benchmarks, tools and performance optimization methods for GPU/AI systems, including giant model training and inference systems such as LLM. - 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 to improve training and inference system efficiency. - 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 to 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.

Minimum Qualifications - Current or recent PhD graduate with a background in Electrical Engineering, Computer Engineering, Computer Science or related majors. - Thesis topics 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 systems. Preferred Qualifications - Understand LLM model architecture, familiar with training and inference requirements on accelerator/memory/network. --- 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