Nvidia Senior Software Engineer - Robotics AI 

United States, California 

497977029

We are seeking a Senior SW Engineer, Robotics & AI with 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.

What You Will Be Doing:

• 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.

What we need to see:

• MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience).

• 3+ Years of experience in 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 AIconferences/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.