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Tutor
Posted 137 days agoVerified live 10h ago

Research Engineer

Brief overview

Watertown, MAIn-person
Programming in one or more languagesCollaboration in team settingsPython proficiencyTypescript + React proficiencyRobot arms / manipulationMotion planningRobot optimizationInfra and devtools (systemd, Docker, Kubernetes)Hardware / software integration

Job description

Summary

Tutor Intelligence is an AI software company focused on building technology for robots in American factories. The role of Research Engineer involves developing AI algorithms and systems that enable robots to perform extraordinary tasks, with a strong emphasis on programming and collaboration.

Responsibilities

  • Build the AI algorithms and systems that drive novel capabilities in the lab and in the field

Skills

  • Exceptionally strong programming skills and comfort in one or more programming languages
  • Natural collaborator, excited to work closely around a whiteboard in a team setting
  • Excited by the future full of robots and a reshaped physical economy
  • Not afraid to step foot in a factory or a warehouse
  • Advanced proficiency with Python and/or Typescript + React
  • Experience with robot arms / manipulation
  • Experience with motion planning and robot optimization
  • Experience with perception or computer vision (deep or classical)
  • Experience with infra and devtools (systemd, Docker, Kubernetes)
  • Experience with hardware / software integration

Qualifications

Must Haves

  • Exceptionally strong programming skills and comfort in one or more programming languages
  • Natural collaborator, excited to work closely around a whiteboard in a team setting
  • Excited by the future full of robots and a reshaped physical economy
  • Not afraid to step foot in a factory or a warehouse

Nice to Haves

  • Advanced proficiency with Python and/or Typescript + React
  • Experience with robot arms / manipulation
  • Experience with motion planning and robot optimization
  • Experience with perception or computer vision (deep or classical)
  • Experience with infra and devtools (systemd, Docker, Kubernetes)
  • Experience with hardware / software integration

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