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About the Role
We are seeking a visionary individual to develop LM/VLM-powered agents that autonomously interface with various software and tools to drive generative simulation. You will build agentic systems to synthesize high-quality physical data and create data pipelines for training and evaluating AI agents. This role involves collaborating with other teams to develop necessary APIs and services, and driving innovation in LLM agents and generative simulation.
Responsibilities
- 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.
Requirements
- 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.
- Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).
Skills
- LM/VLM-powered agents
- Generative simulation
- Agentic systems
- Generative models
- Interactive tools
- Data pipelines
- Large language models
- Generative AI tools
- Agentic software design
- GUI automation
- Program synthesis
- Robotics
- Embodied AI
- Physical reasoning
- CAD software
- Game engines
- Physics engines
- Robotics simulators