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# A/AI Machine Learning Engineering Sr

- **Company:** Lockheed Martin
- **Location:** Mount Laurel Township, NJ, United States
- **Experience:** Expert
- **Salary:** $122,600.0 - $227,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, JIRA, C++ (Programming Language), Ubuntu (Operating System), Computer Engineering, Continuous Integration, Python (Programming Language), Linux Distribution, Machine Learning, Red Hat Enterprise Linux, Software Engineering, Enterprise Software Applications, Kubernetes Helm Charts, Gitlab, Kubernetes, Information Technology, Optimization Algorithms, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3445778982&tx=IT8376TYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree or higher from an accredited program in Computer Engineering, Computer Science, or related discipline
 * Proven experience leading and executing software intensive programs
 * Proven software engineering experience interfacing across teams to integrate advanced technology into complex programs
 * Experience with common programming languages such as C++, Java, and Python
 * Experience with CI/CD tools such as GitLab
 * Experience with the agile development process and tools such as Jira
 * Ability to obtain a Secret security clearance

Desired Skills

 * 4 or more years of Software Engineering experience
 * Experience creating and deploying containers using tools such as Docker Compose, Kubernetes, Helm Charts, etc
 * Experience with Linux Distributions such as Red Hat, Ubuntu, and Rocky
 * Proven ability to collaborate with multidisciplinary teams while maintaining an open, inclusive mindset, and to make data-driven decisions that keep projects on schedule and aligned with strategic objectives.
 * Experience integrating or working with autonomy software and/or hardware, including perception, motion/mission planning, or controls
 * Experience developing and implementing solutions using AI/ML optimization techniques, and creating tools to digitally transform processes
 * Experience working on safety-critical solutions
 * Experience developing and presenting technical studies and proposals to generate new business opportunities
 * Experience leading teams to meet mission critical objectives

## Description

The Enterprise Technologies Accelerating Command and Control Transition group drives innovative solutions for a diverse set of capabilities for AI enabled mission applications, Autonomy, C2 planning for autonomous systems, edge based tactical C2, IRAD projects, and proposals.