Standard Job Description
Designs, develops, documents, tests, and maintains full spectrum cyber solutions. Develops and automates secure systems to support cyber offensive, defense and full spectrum cyber operations.Conducts vulnerability research, reverse engineering, penetration testing (red/blue teams), develops and integrates low-level firmware, and/or develops specialized cyber software solutions and tools based on mission requirements. Applies system knowledge of subject matter (hardware, software, networks, cloud, etc.) to conduct research to evaluate potential vulnerabilities and develop new capabilities to exploit and/or mitigate vulnerabilities. *USE OF THIS CLASSIFICATION REQUIRES AUTHORIZATION FROM THE BUSINESS AREA CYBER DIRECTOR OR DELEGATE*
Long Description
When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today’s challenges to global security aren’t just changing - they’re accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking a high energy Cyber Software Security Engineer to support the AI Factory, an enterprise Artificial Intelligence and Machine Learning (AI/ML) platform. In this role, you will be embedded in the AI Factory team working alongside data engineers, AI/ML engineers, product managers, and data scientists, with a primary focus on Test, Evaluation, Verification, and Validation (TEVV) of AI/ML systems. The selected candidate will help ensure that AI/ML models, pipelines, and platforms deployed across Lockheed Martin are rigorously assessed for security, robustness, reliability, and trustworthiness. Additionally, they will contribute to a broad range of TEVV projects across the enterprise to increase the assurance, availability, and value of artificial intelligence to Lockheed Martin.
The selected candidate will:
- Design, build, and secure TEVV infrastructure and tooling to evaluate machine learning systems that power Lockheed Martin's AI platforms
- Develop and mature AI TEVV practices, standards, and methodologies within Lockheed Martin, including adversarial testing, red-teaming, and model assurance techniques
- Work with AI/ML practitioners to define evaluation criteria, benchmarks, and acceptance thresholds that verify model behavior, safety, and security across the AI lifecycle
- Contribute to robust evaluation infrastructure to measure model capabilities, vulnerabilities, biases, and risks across multiple domains and mission contexts
- Build and scale secure runtime environments and automated pipelines for continuous AI assessment, including reproducible test harnesses, evaluation datasets, and regression testing frameworks
- Evaluate the latest TEVV, security automation, and model assurance packages and frameworks in the ML and data ecosystems to enable trustworthy end-to-end development pipelines
- Investigate AI-specific threats (e.g., adversarial examples, data poisoning, model extraction, prompt injection) and integrate corresponding verification and validation checks into CI/CD workflows
Basic Qualifications
- Experience with programming and scripting languages such as Javascript/Typescript, Python, Go, Rust, and Bash
- Experience with Application Security, Software Architecture and Design, and building or integrating test/evaluation frameworks
- Experience with collaboration tools, such as Teams, Confluence, Gitlab
- Knowledge of Cyber Security concepts (Intelligence Driven Defense, Threat Driven Methodologies, or Cyber Kill-Chain) and their application to AI/ML systems
- Knowledge of Kubernetes (OpenShift, Rancher, GKE, EKS)
- Knowledge of DevSecOps, MLOps, and Cloud Native software development practices with emphasis on continuous testing and validation
- Familiarity with containerized development, including Docker and Open Container Initiative (OCI)
Desired Skills
- Experience with pipeline automation for automated testing and evaluation, such as ArgoCD, Tekton, Gitlab CI/CD
- Experience building software prototypes and evaluation harnesses from first concept, maturing through the production lifecycle
- Knowledge of common machine learning frameworks, such as Tensorflow, Torch, Sci-kit Learn, and their associated testing/evaluation utilities
- Working knowledge of the NIST AI Risk Management Framework (AI RMF), MITRE ATLAS, OWASP ML/LLM Top 10, and related AI assurance and governance standards
- Knowledge of enterprise-scale machine learning operations environments, including GPU Computing and High-Performance Computing (HPC), for large-scale evaluation workloads
- Knowledge of AI/ML orchestration frameworks such as Kubeflow, Flyte, for orchestrating evaluation and validation workflows
- Familiarity with cloud computing services, such as AWS, GCP, Azure
- Familiarity with AI observability, monitoring, and telemetry tools such as Langfuse, Splunk, Prometheus, Grafana, Dynatrace, and Sysdig to support ongoing verification of deployed models
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $122600.00 - $227600.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $110300.00 - $204900.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $98100.00 - $182100.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $88300.00 - $163900.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
