NVIDIA is seeking a highly skilled and motivated Robotics 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, 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
Deploy algorithms on real humanoid robots to evaluate sim2real transfer.
Build and optimize data generation pipelines for training and validating robotic models.
Implement and enhance robot learning algorithms for robotics.
Focus on humanoid loco-manipulation tasks to advance robotic capabilities.
Perform Vision-Language-Action (VLA) pre-training and post-training.
Collaborate with engineering and research teams to enable foundation models on humanoid robots.
Run experiments and analyze results to improve robotic system performance.
Continuously learn and explore new technologies.
What we need to see:
Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience)
8+ Years of experience in robotics, embedded systems, or related domains.
Proficient programming skills in C++ and Python.
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:
Real-world experience with humanoid robots, particularly in loco-manipulation tasks.
Experience with NVIDIA's Isaac platform and tools.
Hands-on experience with real-world robotic systems and hardware.
Contributions to open-source projects in the robotics or machine learning community.
Experience with vision-language-action (VLA) models.
Strong publication record in top-tier conferences and journals.
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
