Senior Software Engineer, Humanoid Robotics

Details

NVIDIA is seeking a highly skilled and motivated Robotics Software Engineer specializing in Sim2Real and humanoid loco-manipulation to join the 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.

Responsibilities

• 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.

Requirements

• 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 with real robot testing.
• Familiarity with robotics middleware.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Ways to Stand Out

• 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.

Benefits

• Competitive base salary (see salary ranges below) determined by location, experience, and comparable positions.
• Eligibility for equity and NVIDIA benefits (link to benefits referenced in original posting).
• Applications accepted at least until July 29, 2025.

Compensation (as posted)

• Level 4 base salary range: 184,000 USD - 287,500 USD
• Level 5 base salary range: 224,000 USD - 356,500 USD

NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.