Robotics Software Engineer

About 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.

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 they do. We’re characterized by both technical excellence and next-level collaboration and respect.

About 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 robotics software engineer, your work lies at the center of this challenge, orchestrating real-time robot code, optimization systems for motion planning, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms. Our engineers flex up and down the robotics stack from microcontroller firmware to cloud infrastructure, charging at technical problems from any and all angles.

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 shape their own roles to best tackle the frontier of robotics development.

Responsibilities

• Orchestrate real-time robot code, optimization systems for motion planning, and machine learning systems.
• Develop data labeling frontends and optimizing compilers across multiple platforms.
• Work across the robotics stack, from microcontroller firmware to cloud infrastructure.
• Tackle technical problems from various angles, adapting to the evolving needs of the team.

Requirements

• Exceptionally strong programming skills and comfort in any programming language.
• 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 infrastructure and devtools (systemd, Docker, Kubernetes).
• Experience with hardware/software integration.

About Our Roles & Titles

At Tutor, we believe great engineers and researchers are defined by what they build and the impact they have—not where they sit in an org chart or what title they hold. Everyone in our R&D org holds the title Member of Technical Staff (MoTS). Our job postings use standard titles so you can find us, but if you join Tutor, you'll be a MoTS—with a level determined through the interview process.

We hire people, not slots. Work at Tutor evolves every quarter, and we set the expectation of flexibility from day one. It's common for people to start on one thing and shift to another based on where the team needs them most. A high technical bar across the board is what makes that flexibility possible: it allows people to contribute meaningfully whatever problem they take on.

Pay

$90,000 - $190,000 a year

Benefits

• Fully employer-covered health insurance.
• Managed 401(k).
• Regular in-office meals.
• Social events and a collaborative, low-ego work culture where people are trusted to take ownership and solve real problems.