Senior Software Engineer, AI-Augmented Development

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.

Something has changed. A year ago you wrote code by hand — and you were good at it. Then you started using Claude Code, Cursor, or similar tools and realized the game had fundamentally shifted. Now LLMs write the vast majority of your code, and you're producing more, better software than ever before. You didn't just try these tools — you went all in.

We're looking for a senior software engineer who has lived through this transition and come out the other side more productive, not less rigorous. Someone who understands that AI-augmented development isn't about generating slop — it's about a skilled engineer leveraging a force multiplier to ship things that used to take a team of five.

At Tutor, you'll build the distributed infrastructure, cloud services, user interfaces, and developer tooling that power intelligent robots in real factories. Your code ships to real robots that pick real things in real warehouses — not another SaaS dashboard. You'll work across the stack — backend services, frontends, CI/CD, ML pipelines, data systems — wherever the highest-leverage work is on any given day. Robotics experience is not required. Strong engineering judgment is. But if you've ever wanted to watch a robot do something because of code you wrote that morning, this is the job.