Cyber Software Engineer - Early Career

Security Clearance

TS/SCI

Shift

First

Direct/Indirect

Direct

Business Area

Space

Department

72E3A00:Cyber Engineering

Relocation/Housing Stipend Available

Possible

Job Code/Title

E9751:Cyber Software Engr Asc

Job Class

Cyber Security Engineering

Job Category

4 yr and up College

Program

Bad Robot

Req Type

Full-Time

Job Description

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours.

Lockheed Martin Space is seeking a full-time Early Career Cyber Software Engineer.

Your responsibilities will include:

• Design, develop, and integrate AI/ML models (e.g., anomaly detection, threat‑intel extraction, generative‑AI code analysis) into cyber‑software solutions.


• Incorporate security considerations throughout the software development lifecycle (threat modeling, AI‑driven hardening, automated code reviews, vulnerability assessments, adversarial‑ML testing).


• Researching and developing new software and AI/ML technologies with a cyber lens to resolve complex problems.


• Integrate security considerations throughout the software development lifecycle (threat modeling, hardening, code reviews, vulnerability assessments).


• Collaborating with customers throughout the development life-cycle to ensure innovative solutions meet their needs.


• Contributing to a team environment that values innovation, creativity, and teamwork.


• Participating in the development of outstanding team culture, quickly adapting to evolving customer requirements.


• Utilizing curiosity, dedication, and a one-team focus to enable the most creative solutions.

The successful candidate will be a collaborative and dedicated individual with a passion for AI‑driven cyber software engineering and a drive to make a significant contribution to mission success. You should be able to work in a fast-paced, dynamic environment, quickly adapting to evolving customer requirements, and thrive in a team that values innovation, creativity, and teamwork.

What’s In It For You

We are committed to supporting your work-life balance and overall well-being, offering flexible scheduling options. Learn more about Lockheed Martin’s comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Basic Qualifications

Bachelor's degree in one of the following:

Cybersecurity, Electrical Engineering, Computer Engineering, Computer Science, or a related discipline

Experience with at least one of the following AI/ML frameworks:

LLamaIndex, TensorFlow, PyTorch, JAX, ONNX, Scikit‑learn

Experience building or deploying a local AI stack such as:

Ollama, LocalAI, LangChain, or comparable open‑source frameworks

Fluent in two or more programming languages, e.g.:

C/C++, C#, Java, JavaScript, Python, Ruby

Knowledge with one or more operating systems:

Linux, Unix, macOS, Windows, Android, iOS

Active TS clearance with SCI eligibility required prior to start.

Desired skills

Hands‑on experience using configuration‑management tools such as:

Git, SVN, TFS, Mercurial

Demonstrated experience integrating AI/ML models (e.g., TensorFlow, PyTorch, ONNX, LangChain) into production‑grade applications.

Strong team orientation – ability to collaborate across cyber, d