Research Engineer Graduate (AI Infra Compute) - 2027 Start (PhD)

What you'll do

• Develop AI infrastructure technologies for training and inference, AI agents, and physical AI.
• Collaborate with academia and open-source communities on joint development.
• Research emerging technologies and present research and products in academic papers.

What they ask for

• Completing or recently completed a PhD in Computer Science, Computer Engineering, or a related discipline.
• Experience in at least one area: LLM training and inference infrastructure; AI agents and agent infrastructure; or physical AI 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 AI infrastructure open-source communities 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, AI agents, and physical AI, including training frameworks, inference engines, execution parallelism, GPU kernels, agent infrastructure, synthetic data, VLA/WAM models, simulation, and physical RL.