Full Stack Software Engineer (XR Applications)

The Company Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines. Founded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy. We’re seeking thinkers, builders, and operators who want to help deliver the future of automation.   The Role As a Full Stack Software Engineer at Tutor Intelligence, you’ll design, build, and deploy user interfaces and systems which push the frontier of what robots are capable of. As a contributor to our XR applications, you will write performant, GPU-enabled frontend interfaces for observing a robot's surroundings in real-time. You will also write scalable cloud infrastructure to command and orchestrate fleets of robots.   The Culture We believe great work happens when talented people collaborate with low ego and high trust. At Tutor, everyone is empowered to own meaningful problems and have real impact. We value technical excellence, intellectual honesty, thoughtful urgency, and respect for one another. Responsibilities

Design and implement control interfaces for real-world robotics systems

Own projects end-to-end, from early concept and prototyping through production deployment

Work closely with Engineering, Operations, Product, and Leadership to define and ship solutions

Improve system reliability, scalability, and observability in production environments

Debug complex systems-level issues across hardware and software

Help shape technical direction, best practices, and team workflows as Tutor scales

Requirements Nice to Haves Compensation and Benefits

Competitive salary and meaningful equity

Fully employer-covered health and dental insurance

401(k)

Unlimited PTO

Regular in-office meals and team events

A collaborative, low-ego environment where people are trusted to do their best work