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.
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NVIDIA accelerates humanoid robots’ development with the Isaac solution and GR00T blueprint. We’re now looking for a robotics expert, especially in humanoid robotic systems to support this effort. As a Solutions Architect, you’ll collaborate with an exceptional and highly collaborative research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics. - Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms; - Deploy and evaluate neural network models in physics simulation and on real humanoid hardware; - Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision; - Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability; - Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection; - Collaborate with researchers on model training, data processing, and MLOps lifecycle. - Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field; - 3+ years of full-time industry experience in robotics hardware or software full-stack; - Hands-on experience with deploying and debugging neural network models on robotic hardware; - Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion; - Proficiency in languages such as Python, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.). - Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components. - Physically work on-site on all business days. - Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field; - Experience at humanoid robotics companies on real hardware deployment; - Experience in robot hardware design; - Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment. JR2000978