Research Engineer - Robot Learning

Applied Intuition•Sunnyvale, CA

2d•Onsite

About The Position

Applied Intuition is seeking multiple passionate Research Engineers to join their Research Group. This group focuses on creating cutting-edge technology for next-generation physical AI, with an emphasis on end-to-end autonomous driving and robotic generalist applications. Researchers will be supported by industry-leading tools and infrastructure, including access to millions of miles of data and the ability to deploy developed methods into various autonomous and robotic systems. The role involves contributing to research publications, collaborating with engineering teams on ADAS, data, and simulation for mass production vehicles, and developing neural simulation/generation tools for autonomy development. The company culture is fast-paced and customer-focused, with immediate deployment of improvements to customer programs. They are open to all years of experience and consider candidates with potential Tech Lead and Manager capacity.

Requirements

Hands-on experience in at least one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning, VLA post-training, reinforcement learning, Physics-aware reconstruction, deformable simulation
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

Support the team robotic and data collection hardware set up, and design the mechatronic system for customized demands
Construct robotic simulation environments at scale and use it for RL training
Process human data for robotic use cases
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