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

What you'll do

• Develop key technologies to optimize AI infrastructure.
• Collaborate with academia and open-source communities, and research emerging technologies.
• 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/inference infrastructure, AI agents and agent infrastructure, or physical AI infrastructure.
• Commitment to continuous learning and ability to quickly grasp 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

Research and optimize AI infrastructure for LLM training and inference, AI agents, and physical AI, including agent infrastructure, synthetic data, and VLA/WAM model training and inference.