Software Engineer I (Onsite)

RTX•Cedar Rapids, IA

1d•$57,200 - $108,800•Onsite

About The Position

The Software Engineer I will contribute to next-generation avionics and flight-deck technology for commercial aircraft and military platforms. The role involves developing embedded flight software and avionics solutions for safety-critical environments, using AI-driven development and modern engineering practices. Work spans flight-management software, embedded systems, sensor fusion, real-time avionics networks, and autonomous mission platforms. The engineer will collaborate with systems engineers, hardware teams, AI/ML specialists, and flight-test personnel to deliver integrated solutions that meet aviation safety, performance, and certification requirements. The role includes development, debugging, validation, testing, and support of AI-assisted onboard capabilities, with work conducted in laboratory, simulation, hardware-in-the-loop, and flight-test settings. The position is primarily onsite in Cedar Rapids, Iowa.

Requirements

Bachelor’s degree in Software Engineering, Computer Engineering, Computer Science, or a related STEM major, obtained by the start date.
Relevant experience may be obtained through on-the-job experience, research, coursework, or projects.

Nice To Haves

Prior RTX internship, co-op, or work experience.
Strong collaboration and communication skills, with a desire to develop world-class abilities to work within dynamic teams and solve challenging problems.
Basic understanding of aircraft operational fundamentals; the role involves executing flight-test scenarios to validate system functionality and performance.

Responsibilities

Develop and optimize embedded flight software for safety-critical systems used in commercial aircraft and military platforms.
Write high-performance, deterministic code and debug and validate software using simulation tools.
Collaborate with systems engineers, hardware teams, AI/ML specialists, and flight-test personnel to deliver integrated avionics solutions.
Implement and support AI-assisted onboard features such as intelligent sensor fusion, anomaly detection, and autonomous control logic.
Debug and validate systems using oscilloscopes, logic analyzers, hardware debuggers, simulation, and hardware-in-the-loop environments.
Ensure compliance with aviation safety standards such as DO-178 and adhere to secure coding and cyber-resilience practices.
Participate in flight-test operations, laboratory testing, and simulation runs to evaluate system performance under real-world and mission-critical conditions.