Research Engineer - Robotic Hardware, Simulation and Data
Applied Intuition is seeking a Research Engineer to join its Research Group, focusing on advancing physical AI technologies in autonomous driving and robotics. The team comprises experts recognized for their contributions to premier conferences and journals. The company provides access to extensive data and cutting-edge tools to develop and deploy innovative solutions across various autonomous systems.
In this role, the engineer will support robotic and data collection hardware setup, design mechatronic systems for customized needs, and construct large-scale robotic simulation environments for reinforcement learning training. Responsibilities also include processing human data for robotic applications, collaborating on high-quality research publications, and working with engineering teams to deploy end-to-end algorithms for mass production vehicles and tools supporting autonomy development.
Candidates should have hands-on experience in areas such as humanoid and general robotics, human data collection hardware, large-scale robotic simulation construction, deformable object simulation, and human data processing techniques like retargeting, pose estimation, and SLAM. A passion for scalable autonomy and robotics, strong engineering and research skills, and proficiency in Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training are essential.
Preferred qualifications include industry experience in relevant topics, particularly self-driving applications, an MSc or PhD in machine learning and computer vision with applications in autonomy and robotics, and a passion for building and shipping customer-focused software frameworks or tools.
Applied Intuition offers a competitive compensation package, including a base salary ranging from $126,000 to $423,000 annually, equity options, comprehensive health, dental, vision, life, and disability insurance coverage, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.