Aerospace Software Engineer Co-op - AI-Driven Avionics

RTX; Cedar Rapids (IA); On-site; USD 37,000 - 82,000; Full time

Benefits offered by this job

Relocation Eligibility

Job summary

RTX in Cedar Rapids is seeking a Software Engineer Intern to work full-time during the co-op session, January through August, with a focus on AI-driven avionics software for next-generation flight systems.

You will build and validate embedded software for safety‑critical platforms, collaborating with systems engineers and AI/ML specialists to deliver deterministic, high‑reliability code that meets DO‑178 and cybersecurity standards.

Qualifications

• Pursuing a Bachelor’s or Advanced degree in Science, Technology, Engineering or Mathematics (STEM) and actively enrolled through the internship/co‑op.
• Must have a minimum of 60 hours of credit by the start of the internship/co‑op.

Responsibilities

• Develop and optimize embedded flight-software for safety‑critical systems used in commercial aircraft and military platforms.
• Write high-performance, deterministic code embedded software.
• Collaborate closely with systems engineers, AI/ML specialists, and software engineers 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 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.

Skills

C

Python

C++

Git

DevOps

AI tools

Education

Bachelor's or Advanced STEM degree

60 credit hours completed

Tools

Git

DevOps

AI tools in software development

Job description

RTX in Cedar Rapids is seeking a Software Engineer Intern to work full-time during the co-op session, January through August, with a focus on AI-driven avionics software for next-generation flight systems.

You will build and validate embedded software for safety‑critical platforms, collaborating with systems engineers and AI/ML specialists to deliver deterministic, high‑reliability code that meets DO‑178 and cybersecurity standards.