
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 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. What You Will Be Doing - 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. What We Need To See - 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. Ways To Stand Out From The Crowd - 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
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