Robotics Intern, Embodied Spatial Reasoning

Description

The Isaac Robotics team is looking for outstanding experts in embodied spatial reasoning and VLA/VLM systems to advance the field of spatial understanding for robotics. We’re seeking creative, driven individuals who want to push the boundaries of embodied intelligence and build the foundations of interpretable, robust robotic capabilities.

Responsibilities

• Work closely with robotics researchers and engineers to define a project focused on embodied spatial reasoning.
• Design, implement, and evaluate algorithms for geometry-aware Action Chain-of-Thought (Action CoT) representations.
• Develop controlled spatial robustness benchmarks to quantify how Action CoT affects generalization and robustness in real and simulated environments.
• Apply your methods to improve planning for simulated or real robotic systems.
• Integrate your algorithms into NVIDIA’s robotics ecosystem. Deliverables may include prototypes, patents, production contributions, and/or publications in top conferences and journals.

Qualifications

• Experience in one or more of the following fields: Embodied AI, VLA/VLM systems, diffusion models, World Foundation Models (WFM).
• Actively enrolled in a PhD, Master’s degree or equivalent in Computer Science, Robotics, Electrical Engineering, or a related field for the entire duration of the internship.
• Strong programming skills in Python and familiarity with deep learning frameworks (PyTorch preferred).
• Demonstrated research or internship experience, ideally with publications in top-tier conferences.
• Excellent communication and collaboration skills.

Nice to have

• Proven experience deploying LLMs, VLA/VLM systems, diffusion models, or WFMs in real-world or production-scale systems, especially in robotics or autonomous systems.
• Hands-on experience with NVIDIA Cosmos, Isaac Sim, or Isaac Lab for synthetic data generation, simulation, and physical AI development.

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!