Nvidia Senior Applied Research Software Engineer Robotics Sim2Real 

China, Shanghai 

867491156

What You Will Be Doing:

• PerformVision-Language-Action(VLA) pre-training and post-training.

• Implement and enhance robot learning algorithms for robotics.

• Deploy algorithms on real humanoid robots to evaluate sim2real transfer.

• Focus on humanoid loco-manipulation tasks to advance robotic capabilities.

• Collaborate with research and engineering teams to enable foundation models Sim2Real transfer on humanoid robots.

• Run experiments and analyze results to improve robotic system performance.

• Continuously learn and explore new technologies.

• Cross team collaborations and leadership for sim2real efforts

• Publish papers / technical reports for the applied research work.

What we need to see:

• Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience).

• At least 5 years of experience in robotics.

• Proficient programming skills in Python and C++.

• Experience with machine learning frameworks, especially PyTorch.

• Strong understanding of robot learning principles and algorithms.

• Experience with simulation environments (e.g. Isaac Lab, Isaac Sim)

• Hands-on experience of real robot testing.

• Familiar with robotics middleware.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

Ways to Stand out from The Crowd:

• Technical leadership or management experience for complex projects

• Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks

• Experience withvision-language-action(VLA) models

• Strong publication record in top-tier conferences and journals.

• Experience with NVIDIA's Isaac platform and tools