Join Our Innovative Team as a Robotics Systems Engineer at SEI - Carnegie Mellon University

About SEI AI Division

At SEI AI Division, we are at the forefront of research in applied Artificial Intelligence (AI), developing AI technologies and systems for Defense and National Security. We focus on building real-world AI capabilities, defining robust AI processes and enabling the operationalization of AI for secure, scalable, and human-centered capabilities.

Who We Are Looking For

Are you driven by creativity, curiosity, and innovation? Do you thrive in collaborative, energetic, and technology-focused environments? If your goal is to make impactful contributions to government and beyond, we invite you to apply to become an integral part of our team.

Role Summary: Robotics Systems Engineer

In this pivotal role, you will lead and conduct engineering research to enhance the effectiveness of autonomous systems through the application of AI-related technologies. This position is based in Arlington, VA or Pittsburgh, PA, and involves moderate travel.

Key Requirements:

• Bachelor’s degree in Computer Science or related field with 8+ years of experience, OR Master’s degree with 5+ years, OR PhD with 2+ years.
• Willingness to travel to SEI offices, sponsor sites, and conferences (approximately 25%).
• Eligibility for a Department of Defense security clearance upon a thorough background investigation.
• Legal authorization to work in the United States without the need for sponsorship.

Core Responsibilities:

• Solution Development: Lead teams from concept to prototype, turning research into operational capabilities for government stakeholders.
• Hands-on Prototyping: Engage in advanced prototyping in AI and autonomy across multi-domain uncrewed systems.
• Strategy: Collaborate with AI Division leaders to influence national research and technology agendas.
• Collaboration: Partner with internal teams and external thought leaders to tackle emerging challenges in autonomous systems.
• Mentoring: Enhance team expertise through mentorship and sharing of knowledge within AI applications.

Desired Skills and Experience:

• Demonstrated experience in machine learning and AI, particularly in robotics and autonomous systems.
• Proficiency in systems engineering and familiarity with the full lifecycle of AI-enabled systems.
• Hands-on experience with robotics control, motion planning, and AI-integrated task management.
• Experience with software and systems engineering tools like Docker and cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Excellent communication and collaboration skills, necessary for interacting with diverse teams and stakeholders.

Why Carnegie Mellon?

Discover a career where you can apply your passion and skills to make a global impact in technology and innovation. Enjoy a comprehensive benefits package and the opportunity to collaborate with leading professionals and researchers from around the world.

For more information and to view employee benefits, please visit the page. Carnegie Mellon University promotes diversity and inclusion as an Equal Opportunity Employer/Disability/Veteran.

Ready to apply? Click to start your journey with us as a Robotics Systems Engineer!