We are seeking talented software engineers to join our Atlas behavior learning team. You will develop robot system software, applications, machine learning infra, and tools as part of our R&D effort teaching Atlas the skills it needs to act in the real world.
We are tackling the most challenging problems in humanoid robot manipulation and locomotion through state-of-the-art methods in learning and learning from demonstration.
In this project you will develop teleop interfaces, robot command interfaces, simulation and mocap tools, etc. to collect human demonstration datasets and train large behavior models for Atlas.
You will work on these hard challenges in close collaboration with roboticists, researcher scientists, DevOps engineers, and data annotation teams.
Your contributions will help us build new robot technologies for Atlas and other R&D efforts at Boston Dynamics.
How you will make an impact :
Actively participate in ongoing research initiatives, collaborating closely with Research Scientists and Infrastructure Engineers
Write software for data logging, data pipelines, training pipelines
Work with robot simulation software to develop scenarios, tests, and data collection tools
Develop visualization and analysis tools
Work with VR and mocap devices and write code for teleoperation interfaces
Work with annotation teams and develop data annotation tools
Analyze and track failures in experimental robot runs.
Maintain and improve the code repository, ensuring its ongoing maintenance and improvement to meet evolving needs (CI / CD, testing, deployment)
Develop tools to query and gain insights into data, training, and testing performance metrics
Desirable experience :
3+ years of experience developing software for robotics or related fields
Advanced knowledge in Python programming, familiarity with C++
Familiarity with popular ML frameworks
Experience with robotics or related problems : 3D transformations, kinematics
Experience with ML robotics datasets, robot middleware systems, pubsub, and common sensor modalities
Experience with cloud infrastructure, storage, databases
Experience with docker and job orchestration for cloud and on-premise GPU clusters
LI-JM1