Software Engineer II –AI Enabled Tactical Autonomy

Location

US-IA-CEDAR RAPIDS-108 ~ 400 Collins Rd NE ~ BLDG 108

Onsite

U.S. citizenship is required and the ability to obtain and maintain a U.S. Government issued security clearance. Security clearance status:
Active and existing required after day 1.

Security clearance type:
DoD Clearance:
Secret

Join our team to develop next-generation AI-enabled autonomy software that powers intelligent, mission-critical systems at the tactical edge. As a Software Engineer II, you'll build intelligent agent behaviors, multi-agent coordination, and machine learning capabilities that enable distributed platforms to collaborate and make autonomous decisions in challenging, communications-constrained (DDIL) environments.

• Develop AI-enabled autonomy software that supports intelligent decision‑making and mission execution in distributed, multi‑domain environments.
• Design and implement intelligent agent behaviors, machine learning models, and edge‑based AI capabilities for tactical systems.
• Build software that enables autonomous platforms to coordinate tasks, share information, and operate effectively in Denied, Disconnected, Intermittent, and Limited (DDIL) environments.
• Contribute to cross‑platform orchestration and adaptive data solutions that improve collaboration and mission performance across distributed assets.
• Integrate, test, and validate AI and autonomy capabilities using modeling, simulation, and advanced experimentation environments.
• Collaborate with cross‑functional engineering teams to develop scalable, secure, and mission‑critical software solutions.

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 2 years of prior relevant experience or an advanced degree in a related field.
• Proficiency in Python and experience with at least one programming language such as C++, Rust, or Go.
• Experience developing or integrating AI/ML applications, including deploying machine learning models in real‑time or edge computing environments.
• Knowledge of distributed systems, concurrency, or software designed to operate in communications‑constrained (DDIL) environments.
• Familiarity with tools and technologies such as ROS/ROS2, containerized environments (Docker, Kubernetes), or agent‑based autonomy frameworks.

• Experience with reinforcement learning, multi‑agent systems, or AI‑driven decision‑making.
• Familiarity with autonomy simulation tools, modeling environments, or mission‑focused testing frameworks.
• Knowledge of distributed systems, autonomous coordination, or human‑machine teaming concepts.
• Experience developing software for defense, aerospace, or other mission‑critical applications, including familiarity with government or open mission system standards.

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
• Tuition reimbursement program
• Student loan repayment program
• Life insurance and disability coverage
• Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal,  protection
• Birth, adoption, parental leave benefits
• Ovia Health, fertility, and family planning
• Adoption assistance
• Autism benefit
• Employee assistance plan, including up to 10 free counseling sessions
• Healthy You incentives, wellness rewards program
• Doctor on Demand, virtual doctor visits
• Bright Horizons, child and elder care services
• Teladoc Medical Experts, second opinion program
• And more

The salary range for this role is 68,900 USD – 131,100 USD.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in person at one of our office locations, regardless of whether the role is designated as on‑site, hybrid or remote.

This role is a U.S.

-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.