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.

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Applications will be accepted until January 2, 2026.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.