The AI Institute
Simulation Learning Software Engineer
The AI Institute, Cambridge, Massachusetts, us, 02140
Our mission is to solve the most important and fundamental challenges in AI and Robotics, enabling future generations of intelligent machines that will help us all live better lives. Our software engineers bring the depth and rigor of industry experience to the Institute, where a solid foundation of engineering is essential for groundbreaking research. If you have a passion for developing technology that advances the capabilities and usefulness of robots, we want you on our team! At our new Cambridge, MA office, we're building a collaborative and innovative organization, and we're looking for Senior Software Engineers to help lead the way.
Responsibilities
Algorithm Development:
Design, develop, and optimize high-performance algorithms to enhance robotic systems' capabilities and efficiency Leadership & Mentorship:
Provide technical leadership, mentoring other engineers, and fostering a culture of collaboration, innovation, and continuous improvement within the team Software Quality:
Promote code quality and reliability through regular code reviews and the adoption of best practices Cross-Functional Collaboration:
Work closely with researchers and other engineering teams to deliver cross-functional features and system capabilities that push the boundaries of robotics Hands On Development:
Take a hands-on approach to development, building and refining software systems to solve complex problems in robotics. Requirements
7+ years of experience delivering high-quality software. Proven experience in technical leadership, including mentoring and guiding teams. BS or MS in Computer Science or a related field. Strong development skills in Python and experience with Pytorch. Experience with IsaacSim or IsaacLab simulation environments. Basic understanding of Reinforcement Learning (RL) and its applications in robotics. Proficiency with modern software engineering tools and practices (git, issue tracking, CI/CD). Excellent troubleshooting, debugging, communication, and collaboration skills. Bonus
Familiarity with RL libraries like RSL-RL, rl-games, or pytorch-RL, and tools like WandB, Ray. Experience with Docker, cloud computing, or distributed systems. Expertise in real-time systems, perception, navigation, manipulation, or kinematics. Hands-on experience with ROS, gRPC, or other inter-process communication middleware. Background in Machine Learning applications for robotics. Familiarity with robotic sensors such as IMUs and cameras.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Responsibilities
Algorithm Development:
Design, develop, and optimize high-performance algorithms to enhance robotic systems' capabilities and efficiency Leadership & Mentorship:
Provide technical leadership, mentoring other engineers, and fostering a culture of collaboration, innovation, and continuous improvement within the team Software Quality:
Promote code quality and reliability through regular code reviews and the adoption of best practices Cross-Functional Collaboration:
Work closely with researchers and other engineering teams to deliver cross-functional features and system capabilities that push the boundaries of robotics Hands On Development:
Take a hands-on approach to development, building and refining software systems to solve complex problems in robotics. Requirements
7+ years of experience delivering high-quality software. Proven experience in technical leadership, including mentoring and guiding teams. BS or MS in Computer Science or a related field. Strong development skills in Python and experience with Pytorch. Experience with IsaacSim or IsaacLab simulation environments. Basic understanding of Reinforcement Learning (RL) and its applications in robotics. Proficiency with modern software engineering tools and practices (git, issue tracking, CI/CD). Excellent troubleshooting, debugging, communication, and collaboration skills. Bonus
Familiarity with RL libraries like RSL-RL, rl-games, or pytorch-RL, and tools like WandB, Ray. Experience with Docker, cloud computing, or distributed systems. Expertise in real-time systems, perception, navigation, manipulation, or kinematics. Hands-on experience with ROS, gRPC, or other inter-process communication middleware. Background in Machine Learning applications for robotics. Familiarity with robotic sensors such as IMUs and cameras.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.