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# A/AI Systems Engineer - E2

- **Company:** Lockheed Martin
- **Location:** Littleton, CO, United States
- **Salary:** $101,400 - $188,200
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Python (Programming Language), Language Modeling, Natural Language Processing, NumPy, Software Architecture, Rapid Prototyping Process, Tensorflow, Signal Processing, Software Systems, Subsystems, Systems Modeling Language, Systems Architecture, System Testing, Systems Integration, UML, Reinforcement Learning, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Pandas, Scikit Learn, Integration Tests, Kubernetes, Machine Learning Operations, Hardware Infrastructure, Model Context Protocol, Docker
- **Published:** November 11, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28175363/A-Ai-Systems-Engineer-E2-Colorado-Littleton-1301

## About the Role

* Ability to obtain a secret clearance is required.
 * Technical Project Lead experience with hardware and software systems
 * Integration and Testing of autonomous mission management architectures
 * Systems Engineering Experience: risk management, changing requirements, priorities, and impediments
to ensure relevance, meet technical deadlines, and enable quick turnaround.

 * Previous experience in the A/AI and robotics domain
 * Knowledge of software and system architecture patterns
 * Knowledge of application areas (computer vision, natural language processing, signal processing, robots, multi-agent systems, manned-unmanned teaming, etc.)
 * Demonstrated history of building prototypes in rapid prototyping environment
 * Experience working and collaborating in a multi-disciplinary research team setting
 * Experience using modeling languages including UML/SysML and integrated modeling tools like Enterprise Architect.
 * Experience with robotics (including ROS)

Desired Skills

Experience with UML, SysML, Enterprise Architect, ROS, AI/ML & autonomy algorithm expertise, mathematics, FOSS, software architecture, Docker/Kubernetes, computer vision, fusion, optimization, localization, mission planning, signal processing, C/C++, Java
Knowledge of LLMs, Generative AI, LLM Tool Calling, Model Context Protocol (MCP), RAG, Python (PyTorch, TensorFlow, scikit-learn, NumPy, Pandas), MLOps, NLP, Computer Vision, Reinforcement Learning
Previous work on Corporate IRADs or Cross BA work experience
Experience with SysML/Cameo
Experience with MBSE

## Description

Responsible for autonomy hardware and software system integration and testing including verification and validation.Translates customer requirements into product and systems specifications while addressing technical, schedule, and cost considerations; Establishes functional and technical specifications and standards for autonomous systems; Determines sensing hardware components; Recommends and selects appropriate control systems; Integrates and optimizes the autonomous compute and sensing hardware and software; Solves hardware/software interface problems; Develops plan(s) to integrate autonomous functionality into product(s) and platform(s) and other system(s); Develops test plans for validation and verification and procedures for test and evaluation requirements in collaboration with designers and developers; Performs integration testing and coordinates subsystem and/or system testing activities for autonomous programs; Documents and conducts analysis of test results and recommends fixes
to software, hardware components, subsystems and systems; Interfaces with other teams involved the development lifecycle for perception