Research Associate at HHL Leipzig Graduate School focusing on economic psychology and leadership. Engaging in research projects while supporting teaching and supervising students' theses.
About the role
- Research Scientist in AI algorithms for humanoid robots at NVIDIA. Designing novel AI algorithms and collaborating with research teams on robotics and embodied agents.
Responsibilities
- Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;
- Develop large-scale AI training and inference methods for foundation models;
- Optimize and deploy AI models in physical simulation and on robot hardware;
- Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
Requirements
- Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
- Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.).
- Python or C++ is required; CUDA or ROS proficiencies are a plus;
- Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models.
- Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics.
- Experience across one or both of these fields: Multimodal Foundation Models.
- Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; Action-based transformers.
- Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
- Robotics Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
- Deep understanding of robot kinematics, dynamics, and sensors;
- Ability to safely operate robot hardware, lab equipment, and tools;
- Knowledge of control methods, including PID, model predictive control, and whole-body control;
- Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;
- Robot hardware design and hands-on building experience.
Benefits
- equity
- benefits
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