Senior Staff Robotics Engineer- Spot Autonomy

Waltham, MA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Research
  • Art
  • Mapping
  • Sensors
  • Embedded Systems
  • Research and Development
  • Collaboration
  • PyTorch
  • Writing
  • C++
  • Python
  • Computer Science
  • Robotics
  • Internationalization And Localization
  • Machine Learning (ML)
  • Semantics
  • 3D Computer Graphics
  • Open Source
  • Publications

Summary

In this role you will have the opportunity to develop Spot's next generation autonomy capabilities. You will research & integrate state-of-the-art approaches in the areas of perception, localization and navigation to ensure that our robots can navigate the world robustly and confidently.

You will get to:
  • Develop Spot's next generation localization, mapping, perception and autonomy capabilities and deliver them to the product.
  • Apply and develop novel approaches in the areas of SLAM / ML / Perception to solve complex challenges in semantically-aware navigation and localization in dynamic environments.
  • Leverage real world sensor data, simulation & tests to ensure that your solutions are robust and performant at scale.
  • Take active ownership of key components in Spot's autonomy & perception stack.

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 3+ years of professional experience
  • A strong understanding of robotics, including methods in perception, localization (SLAM), and navigation. You should be familiar with both traditional and ML-based methods and their typical strengths & shortcomings.
  • 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 and/or navigation/behavior policies.
  • Experience with Machine Learning frameworks (e.g. PyTorch)
  • 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 advanced robotics, autonomy, and control systems, with a pragmatic approach to deploying robust, real-world solutions.
  • Experience with advanced topics in localization and navigation, including ML-enhanced methods like semantic SLAM or end-to-end approaches.
  • Experience with 3D robot simulation (e.g. Mujoco or Isaac Lab).
  • A track record of relevant product deliverables, open-source contributions or publications.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10130589
  • Position Id: 77e20c3a3152e143b65b300c26cad70
  • Posted 3 hours ago
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