XR Frontend Engineer — Robotics & Real-Time AI

Tutor Intelligence, Inc.; Watertown (MA); On-site; USD 100,000 - 315,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Unlimited PTO and holidays off for all

Job summary

Tutor Intelligence, Inc. is hiring a Full Stack Software Engineer in Watertown, MA.

You will design, build, and deploy user interfaces and systems that push the frontier of robot capabilities, including GPU-enabled XR frontends and scalable cloud infrastructure to command fleets of robots. You will collaborate with Engineering, Operations, Product, and Leadership to ship solutions, own projects end-to-end, and improve reliability and observability in production environments.

Qualifications

• Strong foundations in Python and React.
• Experience operating in fast-moving, resource-constrained environments.
• Clear communicator who collaborates well across technical and non-technical teams.
• Strong sense of ownership and a bias toward shipping meaningful work.
• Genuine interest in robotics, AI, and solving hard real-world problems.

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.

Skills

Python

React

Job description

Tutor Intelligence, Inc. is hiring a Full Stack Software Engineer in Watertown, MA.

You will design, build, and deploy user interfaces and systems that push the frontier of robot capabilities, including GPU-enabled XR frontends and scalable cloud infrastructure to command fleets of robots. You will collaborate with Engineering, Operations, Product, and Leadership to ship solutions, own projects end-to-end, and improve reliability and observability in production environments.