Job description
What You’ll Do
- 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 What You’ll Bring
- 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)