About the job
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. 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.
Responsibilities
Develop multi-agent coordination algorithms and distributed C2 autonomy behaviors
Apply reinforcement learning to resource allocation, tasking, and cooperative/adversarial scenarios
Design intent-driven autonomy functions that translate commander intent into executable behaviors
Implement multimodal human-machine interaction capabilities and operator-centric mission tools
Engineer probabilistic reasoning, adaptive learning, and intelligent data-management components for DDIL environments
Build and integrate distributed AI agents into simulation, laboratory, and operationally representative test environments
Develop scalable autonomy and AI architectures spanning edge nodes, federated systems, and cloud environments
Implement and maintain MLOps pipelines for continuous model refinement, evaluation, and deployment
Ensure interoperability with open standards, cyber-secure interfaces, and multi-domain system requirements
Transition advanced autonomy concepts into operational prototypes and mission systems
Qualifications
Minimum
Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or An Advanced Degree in a related field and minimum 5 years experience.
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Systems Engineering, Robotics, Applied Mathematics, or related field
5+ years of experience in AI/ML, autonomy, distributed systems, or advanced C2 architectures
Strong background in probabilistic reasoning, reinforcement learning, or multi-agent systems
Experience building resilient distributed computing or edge-deployed systems
Proficiency in Python and at least one systems language such as C++, Rust, or Go
Experience developing and deploying ML models using frameworks such as PyTorch or TensorFlow
Familiarity with autonomy or distributed-system frameworks such as ROS/ROS2, messaging/streaming platforms, or agent-based environments
Experience deploying AI technologies into operational or near-operational environments
Experience with autonomy evaluation, simulation-based testing, or mission analytics
U.S. Citizen - U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract
U.S. citizenship and the ability to obtain and maintain a U.S. Government Security Clearance (Secret) on Day 1 of employment.
Preferred
Experience implementing explainable AI, safety-constrained autonomy, or reasoning guardrails
Background in human-machine teaming, operator-centric autonomy, or cognitive-aware interfaces
Experience developing AI or autonomy systems for contested, DDIL, or bandwidth-limited environments
Familiarity with Neurosymbolic AI, hybrid reasoning architectures, or distributed Bayesian inference
Experience with multi-agent coordination, distributed optimization, or Value-of-Information-driven algorithms
Integration experience with edge-to-cloud distributed autonomy architectures
Experience supporting advanced research programs, IRAD strategy, or technology transition planning
Demonstrated ability to guide technical approach, architectural direction, or cross-team autonomy strategy