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# Software Engineer I (Onsite)

- **Company:** RTX
- **Location:** Cedar Rapids, IA, United States
- **Experience:** Starter
- **Salary:** $57,200.0 - $108,800.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Systems Engineering, Computer Engineering, Software Debugging, Hardware-In-The-Loop Simulation, Secure Coding, Sensor Fusion, Software Engineering, Safety Critical Systems, Information Technology
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3468458737&tx=JR3327FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date.
 * Experience may be obtained through on-the-job experience, research, coursework, or projects., * Prior RTX internship, co-op, or work experience.
 * An emphasis on strong collaboration and communication skills, with a desire to achieve world class abilities to work within dynamic teams to solve challenging problems.
 * Basic understanding of aircraft operational fundamentals is highly desirable, as the role involves executing flight test scenarios to validate system functionality and performance. This hands-on work will enable the candidate to directly contribute to the advancement of next-generation aerospace technologies.

## Description

* Develop and optimize embedded flight-software for safety-critical systems used in commercial aircraft and military platforms.
 * Write high-performance, deterministic code and conduct debugging and validation using simulation tools.
 * 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.
 * Implement and support AI-assisted onboard features such as intelligent sensor fusion, anomaly detection, and autonomous control logic.
 * Conduct debugging and validation using oscilloscopes, logic analyzers, hardware debuggers, simulation and hardware-in-the-loop (HIL) environments.
 * Ensure compliance with aviation safety standards such as DO-178, and adherence to secure coding and cyber-resilience practices.
 * Participate in flight-test operations, lab testing, and simulation runs to evaluate system performance under real-world and mission-critical conditions.