NVIDIA’s robotics platform ISAAC is a fast progressing effort inside the company and will have a decisive impact on the future progress of the robotics industry. We need passionate, hard-working and creative people to help us tackle more of the unique opportunities in the fast pace environment of modern robotics. In our team, you will have the chance to work on the most advanced chips for robotics with standard robotics platforms. Solve the localization problem based on cameras, LiDAR, Radar, etc. You will be able to contribute to the next exciting industry in the world. We are looking for software engineers to optimize our localization performance based on the most recent industry technology (including NeRF, feature maps, etc) with our standard ISAAC platform. Your work on a very complex problem will help to make the world better.What You'll Be Doing:Research to use NeRF based technology and work on the pipeline to create NeRF scenarios along with NeRF based localizationWork closely with robotics mapping team to iteratively improve the robotics localization related algorithmsFollow up with the industry leading localization algorithms based on the ISAAC robotics platformBuild a stable localization module, and show the customer our ability on robotics software and hardwareWhat we need to see:Bachelor, Master or PhD degree in computer science, computer engineering or equivalent experience5+ years working on compute vision related experience, especially with NeRF and other state of art technology (or equivalent experience in academy)Experience with autonomous vehicles or mobile roboticsA deep knowledge of software development skills (C++, Python).Strong design, coding and debugging skills.Strong communication and teamwork skills, as we work as a tightly knit team, always discussing and learning from each other.Highly motivated, hardworking and curious about new technologies.Ways to stand out from the crowd:We would love to see a record of working and shipped solutions on related products. We definitely want to hear from you if you have one or more of the following background:Experience of working with LiDAR/Radar/camera/IMU, etcWell-rounded knowledge of how an autonomous vehicle stack (or similar large system) works, and practical experience taking care of the challenges in integrating many components into one solutionPresentation of papers at top conferences
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