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Robotics Intern, Embodied Spatial Reasoning(m/w/x)
Designing algorithms for geometry-aware Action Chain-of-Thought representations in robotic systems. Research experience with top-tier conference publications expected. Collaboration with leading robotics researchers.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NVIDIA Cosmos
- Isaac Sim
- Isaac Lab
- PyTorch
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Robotics Intern, Embodied Spatial Reasoning(m/w/x)
Designing algorithms for geometry-aware Action Chain-of-Thought representations in robotic systems. Research experience with top-tier conference publications expected. Collaboration with leading robotics researchers.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NVIDIA Cosmos
- Isaac Sim
- Isaac Lab
- PyTorch
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
CH01 NVIDIA Switzerland AG
Industry
IT
Description
NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years.
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