ByteDance

Software Engineer Graduate (AI Infra Compute) - 2027 Start

About the team Compute division focuses on building large-scale and highly available cloud infrastructure, which supports both public cloud products (like VolcEngine ECS service) and the internal products. The Compute-US team focuses on the development and research of the compute infrastructure platform. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - Develop key technologies to optimize our AI Infra stack, including training/inference infra, AI agents, and physical AI Infra. - Work with academia and open source communities on joint development. - Follow and research the latest technologies from academia or industry and conduct deep-dive analysis. - Present our research and products in academic papers. Qualifications Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Computer Engineering, or a related discipline. - Experience with at least one of the following areas: - LLM training and inference infra, including training framework optimizations, inference engine performance improvements, more efficient execution parallelism, GPU kernel optimizations, etc. - AI Agents and Agent Infra, including coding agents, general-purpose agents, agent memory, agent sandbox, etc. - Physical AI Infra, including synthetic data, VLA/WAM model training and inference optimizations, simulation, physical RL, etc. - Commit to proactive continuous learning, demonstrate enthusiasm for AI technologies, and exhibit a strong ability to quickly grasp and apply new technologies. - Good communication and teamwork skills. Preferred Qualifications: - Frequent contributors or maintainers in AI Infra related open source communities such as vLLM or SGLang. - Having CS conference publications such as OSDI or MLSys.