英伟达Applied Research Intern, Robotics - 2026
任职要求
• Pursuing Master's degree or above in Robotics, Computer Science, Engineering, or a related field. • Skilled at robotic policy development workflow, from lab to launch: teleoperation, synthetic data generation, domain randomization, VLA and RL post-training, sim2real transfer, deployment with edge AI platforms. • Familiar with the latest research work in VLA and RL algorithms. • Proficiency in Python, PyTorch. Willingness to learn new languages and robot SDK tools as needed. • Ability to adapt to fast-paced development lifecycles, m…
工作职责
As a research intern on the embodied AI projects, you will help build the advanced robotic policies with humanoid robots for the challenging industrial scene — enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong research skills for robotics. What You Will Be Doing: • Bring the latest advancements in embodied AI to simulated and real humanoid robots, successfully apply research in the challenging industrial scenes, like healthcare scenarios. • Build sim-first robot policies with SimReady digital twin and minimize the sim2real gap. • Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac GR00T, Cosmos, and Isaac Sim/Lab into the research work. • Take on a variety of challenges, solve practical research topics. • Deploy and test the developed software on real humanoid robots.
We are seeking students motivated to advance the state-of-the-art in computer vision and generative AI. Our projects will broadly focus on image/video generation and understanding, 3D generation and reconstruction. Through collaboration, we aim to make significant product impacts and publish seminal works in top-tier conferences. Key Responsibilities: 1. Conduct research and development in computer vision and generative modeling, with a focus on image and video generation and editing. 2. Implement and experiment with state-of-the-art methods and models. 3. Collaborate closely with researchers and engineers to explore new research directions and contribute to impactful product solutions. 4. Contribute to research publications in top-tier venues. Basic
A successful candidate will have deep experience in applied methods (statistical analysis, predictive modeling, classification, impact measurement), experience building reporting dashboards, and using those methods and tools to drive key business insights. These insights include but not limited to market growth opportunities and strategies, product opportunities, and advertiser behaviors. The role requires data science skills (i.e., a broad knowledge of existing data mining algorithms), strong business acumen, and knowledge on mobile ads market. You’ll work closely with a broad range of data professionals as well as business leaders. You’ll be working on projects where tools and methods are used to drive real-world business value. - Support DI, Product, Marketing, Partner Development with analytics for customer insights and product opportunity areas. - Quantify the impact of product, sales, and marketing initiatives on customer happiness, and future behavior. - Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables. - Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior.
A successful candidate will have deep experience in applied methods (statistical analysis, predictive modeling, classification, impact measurement), experience building reporting dashboards, and using those methods and tools to drive key business insights. These insights include but not limited to market growth opportunities and strategies, product opportunities, and advertiser behaviors. The role requires data science skills (i.e., a broad knowledge of existing data mining algorithms), strong business acumen, and knowledge on mobile ads market. You’ll work closely with a broad range of data professionals as well as business leaders. You’ll be working on projects where tools and methods are used to drive real-world business value. - Support DI, Product, Marketing, Partner Development with analytics for customer insights and product opportunity areas. - Quantify the impact of product, sales, and marketing initiatives on customer happiness, and future behavior. - Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables. - Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior.