英伟达Robotic Solution Architecture Intern
任职要求
• Pursuing Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field; • 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…
工作职责
• 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.
• 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.
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers. You will work closely with industry sales, developer relationship managers and product teams in the hiring position. What you’ll be doing: • Assist in supporting industry accounts and driving research/influencing/new business in those accounts. • Assist researchers/engineers on their GPU applications. • Deliver technical projects, demos and client support tasks as directed by the Solution Architecture leadership team. • Provide technical support for GPU system deployments. • Be an industry thought leader on integrating NVIDIA technology into applications built on Deep Learning, High Performance Data Analytics, Robotics, Signal Processing and other key applications. • Be an internal champion for Data Analytics, Machine Learning, and Cyber among the NVIDIA technical community.
NVIDIA is building the world’s most groundbreaking and state of the art computing platforms for the world to use. NVIDIA NVDLA HW team delivers high quality deep learning accelerator IP to NVIDIA produce lines. Our team’s work includes Deep Learning algorithm, HW architecture/design/verification and SW prototyping. We are seeking a talented Deep Learning Architecture Engineer to design architecture for innovative deep learning projects and groundbreaking applications such as Gaming, Robotics, and Autonomous Vehicles. You will work with a very brilliant, creative, and helpful team, for a very complex problem that will help to make the world better. What you’ll be doing: • Research, design, and develop architecture solutions of NVIDIA’s accelerating processor • Work on Deep-Learning architecture, algorithms, and software development • Develop function/performance/power models for NVDLA • Co-work with other teams to deliver high quality Deep-Learning processors