Principal ML/SLAM Software Engineer- Spot Autonomy
Waltham Office (POST)
Boston Dynamics
Boston Dynamics is creating practical robotics to tackle your toughest automation challenges and change your idea of what robots can do.In this role you will have the opportunity to develop Spot’s next generation autonomy capabilities. You will employ state-of-the-art approaches in computer vision and machine learning to tackle challenging problems in the areas of perception, localization and navigation.
You will get to:
Contribute to the development of Spot’s next generation localization, mapping, perception and autonomy capabilities and deliver them to the product
Develop & apply novel ML-based approaches to solve a variety of challenging problems in the domain of visual perception and semantically-aware navigation
Help shape the team’s ML model architectures, datasets and pipelines to obtain the best model performances possible
Write high quality and performant C++ and Python code
Design and conduct meaningful experiments to ensure we converge on solutions that have state-of-art performance, but are also computationally feasible and robust in real world environments
As a part of the Spot Autonomy Team, you will closely collaborate with other skilled researchers & engineers who are passionate about Spot’s autonomy capabilities. Being embedded in the broader Spot R&D team, you will get a chance to further collaborate with other groups and experts from a wide variety of backgrounds.
To succeed in this role, you should have the following skills and experience
Required:
A Masters degree in Computer Science, Robotics or related field and 5+ years of professional experience
First-hand experience in Machine Learning and data driven approaches to visual perception problems. A good understanding of recent ML approaches such as LLMs & ViTs.
A solid understanding of traditional computer vision, robotics and navigation methods (SLAM) and their typical strengths & shortcomings
Experience with Machine Learning frameworks (e.g. PyTorch, Onyx)
Experienced in writing performant, well-structured, and testable C++ and Python code
Be a team player and good communicator, able to work well in a dynamic and collaborative environment
Have a passion for quality and autonomous robots
Preferred:
A PhD in Computer Science, Robotics or related field.
A strong background in developing and training neural nets
A strong background in SLAM, and ideally ML-enhanced navigation, such as semantic SLAM.
A track record of relevant publications or product deliverables
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Computer Vision LLMs Machine Learning PhD Pipelines Python PyTorch R R&D Robotics SLAM
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