Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 Algorithms @ 4 Machine Learning @ 4 TensorFlow @ 3 PyTorch @ 3Details
We are seeking a Senior SW Engineer, Robotics & AI with a primary focus on enabling humanoids loco-manipulation skills. You will be responsible for building pioneering models and data generation pipelines that enable robots to perform complex manipulation tasks while navigating dynamic environments. You will work closely with a multidisciplinary team of researchers and engineers to create robust, efficient, and scalable solutions that advance the field of robotics.
Responsibilities
- Work alongside top NVIDIA researchers and engineers to develop advanced AI solutions for versatile humanoid robots and embodied agents.
- Build reliable and scalable data processing workflows.
- Develop and deploy innovative AI algorithms and models.
- Create large-scale infrastructure for AI training and inference of foundational models.
- Systematically test and analyze AI models in simulation environments and on robotic hardware.
- Engage with research and engineering teams across NVIDIA to ensure seamless integration with upstream and downstream stacks.
- Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
Requirements
- MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).
- 3+ Years of experience in the desired field.
- Strong background in robots or autonomous driving system.
- Experience with robot learning for robotics locomotion / navigation / manipulation.
- Hands-on experience in working with large-scale machine learning/AI systems and compute infrastructure.
- Proficiency in Python or C++.
- Outstanding engineering skills in rapid prototyping and product development.
- Familiar with model training frameworks (e.g., PyTorch, Jax, TensorFlow).
- Background with deep learning techniques, especially imitation learning or reinforcement learning.
- Hands-on experience with robotic hardware.
Ways to Stand Out from The Crowd
- Proven track record of publications in top robotics or AI conferences/journals.
- Experience developing robust, scalable data pipelines and working with humanoid or mobile-manipulator robots.
- Familiarity with physics simulation frameworks such as Isaac Lab, Isaac Sim or MuJoCo.
- Knowledge of control methods, including PID, model predictive control, and whole-body control.
- Experience on building multimodal foundation models.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!