Staff Robotics Software Engineer

Job Description

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 architect and build systems from the ground up that affect 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 impacts the foundation of the global economy, solving the core technical challenges in robotics and automation at scale. Lever

As a Staff Robotics Software Engineer, you will lead design and implementation of critical robotics software across motion planning, real-time control, perception and optimization systems, tooling, and robot infrastructure. You will influence technical direction, mentor other engineers, drive system architecture across the stack from embedded to cloud, and champion best practices in software and robotics engineering. 

Requirements

• Exceptional programming skills with deep experience across multiple languages and systems.
• Track record of designing and owning large, complex software systems.
• Experience leading technical projects and mentoring engineers.
• Comfortable working across the stack from low-level robot control to cloud services.
• Natural collaborator, strong communicator, and excited to solve hard problems that bridge software and robotics.

Nice to haves (zero or more)

• Proven experience with Python, C++, ROS, or other robotics frameworks.
• Experience with manipulation, motion planning, optimization, or perception.
• Experience with infra/dev tools (Docker, Kubernetes) and CI/CD.
• Background in hardware/software integration and real-time systems.
• Experience scaling robotics systems in production environments.