Data Agent

Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation

Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools

Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents

Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments

Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems

Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning

A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents

Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation

Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis

Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence

Bonus: Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators)