Software Engineer Graduate (AI Infra Compute) - 2027 Start

What you'll do

• Develop AI infrastructure technologies and optimize training, inference, and agent infrastructure.
• Collaborate with academia and open-source communities on joint development; analyze emerging technologies.
• Present research and products in academic papers.

What they ask for

• Completing or recently completed a Master’s degree in Computer Science, Computer Engineering, or a related discipline.
• Experience in at least one area: LLM training infrastructure, LLM inference infrastructure, or AI agent infrastructure.
• Commitment to continuous learning, enthusiasm for AI technologies, and ability to quickly learn and apply new technologies.
• Good communication and teamwork skills.

Nice to have

• Frequent contributor or maintainer in an AI infrastructure open-source community such as vLLM or SGLang.
• CS conference publications, such as OSDI or MLSys.

Tools

vLLM, SGLang, GPU

AI focus

Optimize AI infrastructure for LLM training and inference and AI agents, including post-training workloads, inference performance, execution parallelism, GPU kernels, and agent infrastructure.