About the job
Collins Aerospace is looking for Principal Software engineer ready to shape the future. Join our Integrated Flight – Advanced Flight Management Engineering team in Cedar Rapids, Iowa, and play a key role in building the next era of aviation. As a Principal Software Engineer, you’ll leverage the latest in AI-driven development to build the precision, safety, and intelligence behind tomorrow’s commercial, business, and military Flight Decks. You won’t just be supporting technology; you’ll be shaping it—engineering avionics solutions trusted in the most demanding environments on the planet. Our Next Generation engineering team is redefining what’s possible in modern avionics, building next-generation flight technologies that push the boundaries of speed, safety, autonomy, and intelligence. From advanced flight-management software and high-performance embedded systems to intelligent sensor fusion, real-time avionics networks, and autonomous mission platforms, we design the systems that power the aircraft of the future. Our technology sits at the crossroads of aerospace, AI, and high-reliability computing—turning bold ideas into dependable systems trusted in the sky every day.
Responsibilities
Design, Develop and optimize embedded flight management software applications used in commercial and military platforms.
Design and implement modular and reusable Flight Management product line software.
Lead the teams in developing the physics-based software related to aircraft performance.
Collaborate closely with systems engineers, hardware teams, AI/ML specialists, and flight-test personnel to deliver integrated avionics solutions that meet stringent aviation safety, performance, and certification requirements.
Qualifications
Minimum
Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
Applied experience of software development using C++, Object-Oriented Analysis and Design (OOA/D).
Experience in developing physics-based software and modeling the aircraft performance using modeling tools such as Matlab/Simulink and other flight simulation tools.
Preferred
Working knowledge and application of neural networks in aerospace domain.
Working Experience with DevOps, Jenkins and automated testing.
Familiar with tools such as GIT, JIRA, Visual Studio Code, Docker, Jama.