Collins Aerospace

Principal AI/ML Software Engineer - Autonomy (Onsite)

Cedar Rapids, IA, US$107,500-$204,500Posted 1 month ago

Job Description

Date Posted

2026-03-17Country:

United States of AmericaLocation:

US-IA-CEDAR RAPIDS-108 ~ 400 Collins Rd NE ~ BLDG 108Position Role Type:

OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type:

DoD Clearance: SecretSecurity Clearance Status:

Active and existing security clearance required after day 1Principal AI/ML Software Engineer - Autonomy (Onsite)

Joining Collins Aerospace isn’t just about finding a job; it’s about embarking on a journey to redefine the future of aerospace technology. Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

We are seeking a forward‑leaning AI/ML Software Engineer to advance next‑generation Command and Control and Autonomy capabilities for the Connected Battlespace. In this role, you will design and implement distributed reasoning, multi‑agent coordination, and mission‑adaptive autonomy technologies that operate across cooperative, competitive, and adversarial environments.

You will architect intelligent, resilient, edge‑deployed AI systems that support both near‑term mission insertion and future-state capability development. This position sits within Defense Technology’s Applied Research and Technology organization, partnering across Collins to define and deliver breakthrough autonomy, explainable AI, and decentralized C2 solutions.

Onsite

This is an onsite role supporting our Cedar Rapids, IA location.

What You Will Do

* Develop multi‑agent coordination algorithms and dis...

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