Robotics Software Engineer

Who we are 

Lab37 Robotics, is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients.

About the Role

Build software that interfaces directly with robotic hardware, controls, and perception systems, alongside cloud services and robotic production systems. As a Robotics Software Engineering Intern, you will contribute to real engineering projects spanning frontend applications, on-robot services, controller state-machines, and low-level hardware communication. You’ll work closely with experienced engineers across software, robotics, firmware, product, and operations while learning modern software engineering practices in a hardware-centric environment.

This is not a project isolated from production. We expect interns to contribute meaningful code, participate in technical discussions, and help deliver software that reaches real users. You’ll receive mentorship from experienced engineers while taking ownership of well-defined features and projects throughout your internship.

What you’ll do

• Develop production software for robotic control and full-stack systems under the guidance of experienced engineers.
• Implement and test control algorithms, sensor integration, and low-level hardware communication protocols.
• Optimize software for embedded and real-time constraints to ensure reliable robotic performance.
• Build product features, internal tools, dashboards, and operational workflows used by engineering, kitchen operations, and robotics teams.
• Implement APIs, services, and tools using modern engineering practices.
• Partner with software engineers, product managers, and operations teams to understand requirements and translate them into working software.
• Participate in design discussions, code reviews, testing, and technical planning.
• Debug production issues, investigate root causes, and contribute to reliable software solutions.
• Write clean, maintainable, and well-tested code.
• Leverage modern AI development tools responsibly to improve engineering productivity while maintaining high software quality.
• Learn and apply engineering best practices including testing, observability, version control, and continuous integration.