Research Engineer, Applied Intuition

• We are looking for a passionate Research Engineer to join the Research Group at Applied Intuition
• We are open to all years of experience as long as the necessary requirements are met, including those with potential Tech Lead and Manager capacity
• Hands-on experience in at least one of the following fields
• 3D reconstruction with Gaussian splatting
• 3D / multi-modal foundation model and its pretraining
• World foundation model and video generation
• 3D/multi-view end-to-end models for autonomous driving or robotics
• Passion for next-generation, scalable autonomy and robotics for real-world systems
• Strong engineering and research skills and the ability to work both independently and collaboratively on projects
• Technical experience in: Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training

Desirable

• The mission of the group is to create cutting-edge technology enabling next-generation physical AI, with emphasis on the two most challenging applications reshaping our everyday life: end-to-end autonomous driving and robotic generalist
• We have a group composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions—including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA
• Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands
• In addition to your research contributions, you will contribute to and learn from best practices in the autonomy and robotics industries within our fast-paced and customer-focused culture
• Improvements deployed to our system immediately help our customers with their programs and deliver value to our business
• Conduct research on 3D vision related topics including 3D foundation model, multi-modal pretraining, Gaussian splatting, world foundation model with applications to autonomous driving
• Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
• Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development