Senior Applied Research Software Engineer, Robotics Sim2real

Robotics Applied Research Software Engineer

NVIDIA is seeking a highly skilled and motivated Robotics Applied Research Software Engineer specializing in Sim2Real and Humanoid Loco-Manipulation to join our Robotics team. This role focuses on building software for developing and deploying robotic policies from simulation to real-world environments, creating data generation pipelines, and applying robot learning for robotics. The ideal candidate will have strong software engineering skills, applied research and engineering experience in robotics and machine learning, and expertise in PyTorch, C++, and Python. Real-world experience with humanoid robots, particularly in loco-manipulation, is highly preferred.

What You Will Be Doing:

• Perform Vision-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).
• 2 years+ 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:

• 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 with vision-language-action (VLA) models.
• Strong publication record in top-tier conferences and journals.
• Experience with NVIDIA's Isaac platform and tools.