Research Engineer
Tutor Intelligence
The Company
Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes , and we’re combining human and artificial intelligence to lead the charge. As an AI software company who 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.
The Role
Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons : every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.
Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a research engineer, your work lies at the center of this challenge, building the AI algorithms and systems that drive novel capabilities in the lab and in the field.
At the core, we are looking for motivated and curious individuals who have exceptionally strong programming fundamentals. Experience in specific technical stacks or with robotics/ML are helpful but not requirements: whatever shape your skill set is, Tutor engineers and researchers shape their own roles to best tackle the frontier of robotics development.
Requirements
- 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 (zero or more)
- 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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