Research Engineer - Robotic Hardware, Simulation And Data
Applied Intuition
Sunnyvale, United States
$126,000 - $423,000 usd annually; not specified; n...
On-site (5 days a week, with occasional flexibility)
Robotic hardware setup
Mechatronic system design
Large-scale simulation construction
Applied Intuition is seeking a Research Engineer for Robotic Hardware, Simulation, and Data to join their innovative team focused on next-generation physical AI technologies. The ideal candidate will possess hands-on experience in robotics and simulation, with a strong foundation in Python and machine learning
Job Summary
Support the team for 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.
Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences.
Matching Summary
Match Score: 85
Applied Intuition is seeking a Research Engineer for Robotic Hardware, Simulation, and Data to join their innovative team focused on next-generation physical AI technologies. The ideal candidate will possess hands-on experience in robotics and simulation, with a strong foundation in Python and machine learning.
Salary
$126,000 - $423,000 USD annually; Not specified; Not specified
Skills & Requirements
Must-have
Robotic hardware setup
Mechatronic system design
Large-scale simulation construction
RL training in simulation
Human data processing for robotics
Python, Pytorch, computer vision
Robotics systems, distributed ML
Nice-to-have
Industry experience in autonomy
Customer-focused software frameworks
Key Requirements
Humanoid, general robotics, human data collection hardware experience
Large-scale robotic simulation construction
Deformable object simulation
Human data processing, retargeting, pose estimation, SLAM
Scalable autonomy and robotics for real-world systems
Strong engineering and research skills
Python, Pytorch, computer vision, robotics systems, distributed ML