Sr Eng, Research, Collaborative Autonomy

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Looking for the right runway for your career to take flight? Consider joining us here at Collins Aerospace, where we’re working side-by-side with customers on exciting industry possibilities. With a comprehensive portfolio, extensive capabilities and broad expertise, we’re crafting intelligent solutions to meet the demands of a rapidly evolving global market – all representing the best in innovation and technology for the industries we serve across commercial, business, space, and military and defense aviation.

With 68,000 employees across 46 countries around the world, we offer an extensive flight list of opportunities to explore the depth of our organization. We offer flexible work options to meet your needs by offering on-site, hybrid and remote roles. Join us and help build a more advanced, more autonomous, more connected, more electric and more sustainable future!

Are you interested in autonomous systems and operations? Are you passionate about technology and rapid prototyping? Well, you may be interested in this position! At Collins Aerospace Applied Research & Technology, our Autonomous Systems is redefining autonomy, automation and robotics in a completely new and brilliant way! We are looking for a passionate candidate interested in joining our Mission Autonomy team in the Autonomous Systems discipline team.

This is a technology focused role to shape future of aerospace and defense technologies from concept definition through to demonstration.

Primary Responsibilities

• Lead and conduct advanced research in the areas of multi-vehicle coordination, autonomous systems, and human-autonomy teaming.
• Design, develop, and evaluate algorithms and software solutions for multi-agent coordination, task allocation, path planning, and decision-making under uncertainty, integrating cutting-edge solutions and technologies.
• Develop simulation environments and conduct both virtual and physical testing to validate system performance and reliability.
• Innovate and propose novel approaches to enhance the efficiency, safety, and robustness of autonomous systems in collaborative environments.
• Collaborate with engineering teams to ensure seamless integration of developed algorithms and software modules into overall system architecture.
• Lead and manage research projects from inception to completion, including defining project scopes, setting milestones, and managing timelines and resources.

Basic Qualifications

• A Ph.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering, or a related field with a strong emphasis on unmanned aerial vehicles (UAVs), autonomous systems, multi-agent systems, or similar.
• Deep understanding of multi-vehicle systems, including communication protocols, coordination strategies, and synchronization techniques.
• Proficiency in programming languages, tools and simulation environments commonly used in robotics and autonomous systems (e.g., C++, Python, ROS, MATLAB/Simulink, STK, Gazebo).
• Strong background in algorithms and data structures relevant to UAV autonomy, cooperative control, swarm intelligence, path planning, and mission execution.
• Motivated self-starter with a strong enthusiasm to grow technologies, and business value propositions.

Preferred Qualifications

• Familiarity with human system integration concepts and with the design of human-computer interfaces for UAV systems command-and-control.
• In-depth understanding of UAV systems, including flight dynamics, sensor integration, communication and message protocols, and navigation systems. Familiarity with UAV hardware components and subsystems, such as flight controllers and autopilots (e.g., PX4, ArduPilot), GPS modules, cameras, and radar/lidar sensors.
• Willing to champion and challenge the technical status quo.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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