Research Engineer - 3D Vision and Generation, Self-Driving

Applied Intuition•Sunnyvale, CA

7h•Onsite

About The Position

Applied Intuition is seeking a passionate Research Engineer to join their Research Group. This group focuses on creating cutting-edge technology for next-generation physical AI, specifically in end-to-end autonomous driving and robotic generalist applications. The team comprises leading experts with a strong track record of academic and industry contributions. Researchers have access to extensive data and can deploy their developed methods into various autonomous and robotic systems. The role involves contributing to research, learning industry best practices, and collaborating within a fast-paced, customer-focused culture. Improvements made by researchers are immediately deployed to help customers and deliver business value. The company is open to candidates of all experience levels, including those with potential Tech Lead and Manager capacity.

Requirements

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.

Nice To Haves

Industry experience on relevant topics (self-driving application preferred).
MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field.
Passion for building and shipping customer-focused software frameworks or tools.

Responsibilities

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 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.