AI Software Engineer

Lockheed Martin•Manassas, VA

8h•Hybrid

About The Position

Lockheed Martin Rotary & Mission Systems is seeking a full-time AI Software Engineer where you will be challenged to use your skills in a high-paced / high-visibility team environment. Joining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. When you choose to work with us, you'll enjoy an excellent working environment equipped with state-of-the-art tools. You will have the opportunity to work alongside industry leaders and top-notch professionals. This role offers a chance to be a part of solving some of the world's most challenging engineering problems and a culture that encourages creativity, excellence, and the development of remarkable products. If you're ready to take your career to the next level, work on groundbreaking projects, and be a part of a team that thrives on innovation, we encourage you to apply and be a part of our mission. Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.

Requirements

Bachelor’s degree in Computer Engineering, Computer Science, or a related discipline (combined education/experience will be considered in lieu of a degree).
Experience designing, developing, and deploying microservices and containerized legacy applications.
Experience with LLMs, RAG architecture, and GenAI.
Experience with machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch.
Demonstrated proficiency in software development using Python, GoLang, Bash, Node/Javascript.
Strong critical thinking and problem solving skills.
Experience in Linux development, integration, and troubleshooting.
Must be a US Citizen for consideration due to security clearance requirements.

Nice To Haves

Experience with command and control systems
Experience with cloud environments
Experience with Nvidia GPU and C++

Responsibilities

Designing, developing, and deploying microservices and containerized legacy applications.
Utilizing LLMs, RAG architecture, and GenAI.
Applying machine learning algorithms and deep learning frameworks such as TensorFlow and PyTorch.
Developing software using Python, GoLang, Bash, Node/Javascript.
Performing software development, integration, and troubleshooting in Linux environments.
Integrating software components.
Implementing test automation and continuous integration and deployment.
Developing and debugging software.
Applying DevSecOps and Agile methodologies.