Robotics Software Engineer Intern

Robotics Software Engineer Intern

Pittsburgh, PA

Lab
37 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.

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.

• 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.
• Share ideas, ask questions, and actively contribute to a collaborative engineering culture.

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Strong programming fundamentals in one or more modern programming languages such as C++, Go, Python, Java, or Rust.
• Understanding of software engineering fundamentals including object-oriented programming, data structures, algorithms, debugging, and software design principles.
• Experience building software through coursework, internships, research, personal projects, or open-source contributions.
• Strong problem-solving skills and curiosity to learn unfamiliar technologies.
• Comfort working in a collaborative team environment and communicating technical ideas clearly.
• Self-motivated with a strong sense of ownership and capacity to learn.

• Proficiency in C++ and experience with ROS / ROS 2.
• Familiarity with Linux, embedded systems, and real-time operating systems.
• Knowledge of computer vision, sensor fusion, or robotic simulation tools like Gazebo.
• Experience with Git and collaborative software development workflows.
• Personal projects, hackathons, robotics, embedded systems, IoT, or hardware-related software.
• Experience using AI-assisted software development tools to improve productivity.
• Open-source contributions or technical leadership in student organizations.

• Real Ownership:
  Contribute directly to production software rather than isolated internship projects.
• Learn From Experienced Engineers:
  Work closely with…