
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Founded: 1993
Headcount (approx.): 42,295
Core focus: GPUs, AI computing platforms, systems, and software
Notable software: CUDA, Omniverse
High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.
1993
Semiconductors / AI compute / Software platforms
$2 billion
Investment in CoreWeave to expand AI compute capacity.
$5 billion
Purchase of an equity stake in Intel as part of a collaboration.
$500 million - $1 billion (reported)
Reported investment in Poolside as part of a larger funding round.
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. * 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. * 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. * 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! The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.