Applied AI Software Engineer (Integration)

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or related field
• 1+ years of experience in software engineering or systems integration
• Strong programming skills in one or more of the following: Python, C++, Java
• Experience applying and integrating AI/ML concepts and frameworks (e.g., model integration, inference pipelines, or data processing workflows)
• Experience working in Linux-based development environments

We are seeking an Applied AI Software Engineer to help accelerate the integration of advanced artificial intelligence and machine learning capabilities into complex software systems and simulation environments. This role sits at the intersection of software development, system integration, and applied AI—enabling rapid capability delivery across virtual and hardware lab environments.

You will work alongside software developers, system engineers, and test teams to integrate, evaluate, and mature AI-enabled features prior to formal system integration, verification, and validation. The ideal candidate is a strong software engineer who is comfortable working across system boundaries and is motivated to apply AI to solve real-world engineering challenges.

Key Responsibilities

• Integrate AI/ML capabilities into existing and emerging software systems, simulation frameworks, and lab environments
• Collaborate with software developers to incorporate AI-driven features early in the development lifecycle
• Develop and maintain integration pipelines across virtual and hardware-based test environments
• Design, implement, and evaluate AI-enabled workflows for system-level capabilities
• Troubleshoot complex integration issues spanning software, data, and system interfaces
• Contribute to the development of tools, automation, and infrastructure that enable scalable AI integration
• Work with cross-functional teams to define data requirements, interfaces, and performance metrics for AI-enabled development
• Advocate and champion use of AI throughout the development lifecycle

• Ability to debug and resolve complex, cross-domain technical issues
• Experience working with software integration, APIs, and distributed systems
• Experience integrating machine learning models into production or test environments
• Familiarity with simulation environments or hardware/software lab integration
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Knowledge of data pipelines, MLOps practices, or model lifecycle management
• Experience with real-time or embedded systems

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.