Beschreibung

As a Robotics Intern focusing on embodied spatial reasoning, you will work alongside experts to design algorithms, develop benchmarks, and enhance robotic planning. Your contributions could lead to prototypes, patents, and publications that shape the future of robotics.

Anforderungen

• •Experience in Embodied AI, VLA/VLM systems, diffusion models, or World Foundation Models
• •Enrollment in PhD, Master’s degree, or equivalent in Computer Science, Robotics, Electrical Engineering, or related field
• •Strong programming skills in Python and familiarity with deep learning frameworks
• •Demonstrated research or internship experience with publications in top-tier conferences
• •Excellent communication and collaboration skills
• •Proven experience deploying LLMs, VLA/VLM systems, diffusion models, or WFMs in real-world or production-scale systems
• •Hands-on experience with NVIDIA Cosmos, Isaac Sim, or Isaac Lab for synthetic data generation
• •Dedication, upbeat and dynamic personality with excellent analytical ability

Aufgaben

• •Collaborate with robotics researchers and engineers on embodied spatial reasoning projects
• •Design and implement algorithms for geometry-aware Action Chain-of-Thought representations
• •Evaluate algorithms to assess their impact on generalization and robustness
• •Develop benchmarks to measure spatial robustness in real and simulated environments
• •Apply methods to enhance planning for robotic systems
• •Integrate algorithms into NVIDIA’s robotics ecosystem
• •Contribute to prototypes, patents, and publications in top conferences and journals

Tools & Technologien