Robotics Software Engineering Intern

Agility Robotics
Onsite- Pittsburgh, PAPosted 26 March 2026

Job Description

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people’s lives more fulfilling. About the Role We are looking for a graduate-level Robotics Software Engineering Intern to join our Skills team at Agility Robotics. This role is focused on developing robot behaviors that are robust, reusable, and easier to generalize across tasks and robot platforms. You will work on hands-on robotics problems at the intersection of behavior planning, software integration, and robot execution, with opportunities to validate your work in both simulation and on hardware. Key Responsibilities Help develop and maintain robot behaviors used in real-world workflows Prototype and evaluate new behavior planning strategies or execution logic Apply ideas from your academic research or prior projects to explore improvements in behavior design, robustness, or performance Collaborate closely with full-time engineers to translate experimental ideas into production-quality robotics software Contribute to software interfaces and abstractions that make robotics behaviors more modular and reusable Analyze logs and failures to diagnose behavior and system issues Run experiments in simulation and on hardware to evaluate behavior performance About You Currently pursuing an M.S. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field, with a focus on robotics Comfortable programming in Python (experience with C++ is a plus) Excited about building real robot behaviors, not just running simulations Interested in behavior planning, robotics software architecture, and systems integration Familiar with robotics concepts such as manipulation, motion planning, computer vision, navigation, kinematics, and control Curious, hands-on, and motivated to understand why robots fail in the real world Bonus Qualifications Exposure to robotics middleware such as ROS Exposure to motion planning frameworks such as MoveIt Experience with simulation tools used in robotics development (Gazebo, Isaac Sim, MuJoCo, PyBullet) Experience designing and building ROS drivers or interfaces for robot hardware Experience testing or debugging autonomous systems on real robots Familiarity with behavior trees, state machines, task planning, or related execution frameworks Prior internship, research, or project experience involving physical robotic systems This is an onsite internship at our office in Pittsburgh, PA - minimum 4 days/week onsite. Duration: Internship (3-6+ months, flexible) Anticipated Base Salary Range $55 $55 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leav ... (truncated, view full listing at source)
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