We understand that general purpose and generally intelligent robots are going to be built in our lifetimes. Not content to sit on the sidelines, we work efficiently towards this goal by combining human and artificial intelligence into something greater than the sum of its parts - a Tutor Intelligence.
We enable anyone to teach robots complicated vision and manipulation skills. We iterate quickly to get real robots in the field, where our robots observe, copy, adapt, and improve on what we show them. They are the students, we are the Tutors.
The robot problems we tackle range from the classical to the unsolved. We solve problems in planning, computer vision, SLAM, optimization, machine learning, and more. For this role, we’re looking for someone with a focus in large-scale navigation: localization, locomotion/odometry, SLAM, multi-robot coordination, etc.
If this sounds like you, read on!
Across the board we write software to make our robots more capable, faster and safer. We work mostly in Python and Linux. We expect our roboticists to also have strong software engineering skills: our interview process includes a rigorous set of software tests. We are a small and high-powered team: we prioritize flexibility and product-focus, hiring engineers who are excited about taking on the next biggest blocker, prioritizing project mission over technical interests.
Note: we are currently based in Watertown, MA but are moving to Seaport in February
Requirements
Experience with building some part of a full mobile robot nav stack, from odometry, local nav, localization, global nav/path planning, SLAM, and multi-robot coordination (not required to have worked on every single layer, but the more the better)
Experience using/building sim/visualization for large-scale nav and multi-robot coordination
Experience debugging robotics issues on real hardware
Strong software skills, especially in Python & C++
Strong communication and collaboration skills
Strong product/customer focus: have an interest in the project’s ultimate goal, rather than a specific way to get there
Nice to have
Control & planning for robot arms
Experience with interpreting and aligning code to safety standards for AMRs
Experience with design/interfacing with hardware design teams
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