Research Engineer Graduate - 2027 Start

Responsibilities

• Develop technologies to optimize AI infrastructure for LLM training, inference, and AI agents.
• Work with academia and open-source communities on joint development.
• Track emerging technologies and conduct deep-dive analyses.
• Present research and products in academic papers.

Requirements

• Be completing or have recently completed a PhD in Computer Science, Computer Engineering, or a related discipline.
• Have experience with LLM training infrastructure, LLM inference infrastructure, or AI agent infrastructure.
• Demonstrate proactive continuous learning, enthusiasm for AI technologies, and the ability to quickly learn and apply new technologies.
• Have good communication and teamwork skills.
• Preferred: contribute frequently to or maintain AI infrastructure open-source projects such as vLLM or SGLang.
• Preferred: have computer science conference publications such as OSDI or MLSys.

Benefits

• The role offers opportunities to pursue bold ideas, tackle complex challenges, and grow within the Compute division.
• Candidates must be able to commit to an onboarding date by the end of 2027 and should state their availability and graduation date clearly in their resume.