Senior Robotics Software Engineer

The Company

We believe general-purpose, generally-intelligent robots will be built in our lifetimes. Robots will work in our factories, move our goods, walk on our streets and eventually be in our homes. To build that future, research and deployment must work in lockstep: real-world operation must make the technology better and better technology must make deployment easier. We're looking for the thinkers, builders, and researchers who want to be part of that loop.

As an AI robotics company that deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy.

Our Culture

We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.

The Role

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. 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.

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.

What follows is a list of things we find interesting. Depending on your passions, your role might fit one or all of the following.

Robot Vision

• Improving 2D and 3D sensing capabilities
• Building visual representations of the world
• Geometric perception
• Perception of seen and unseen objects
• Supervised learningSelf supervised learning

Robot Motion

• Control of robot arms
• Planning motion in the presence of obstacles
• Optimizing grasps and other basic manipulation primitives
• Motion planning
• Tools such as Drake, OMPL, KLAMPT, etc
• Multi roboti planning
• Reinforcement learning

Robot Software

• Proficiency programming in a Python-Linux environment
• Comfort with programming linters (Flake8, Mypy)
• Software support of real-time systems
• Visualization of robot data
• Advanced command of Python (dunder methods, lambdas, exception handling, decorators)

Robot Hardware

• Design and control of end effectors
• Experience integrating and programming robot arms
• Mechanical design of mounts and stands.

About Our Roles & Titles