
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.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
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). - 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 with vision-language-action (VLA) models - Strong publication record in top-tier conferences and journals. - Experience with NVIDIA's Isaac platform and tools 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! JR2001467
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