Description: We are seeking an experienced software engineer to support a small team to design, develop, integrate, and build an AI red teaming platform. This role is focused on developing advanced adversarial AI tools and capabilities in support of the Lockheed AI Center (LAIC) Red Team operating across classified and unclassified environments. This position integrates open source, custom developed, and commercial adversarial AI utilities, provides a unified user interface, and enables automated, repeatable assessments of AI systems across use cases, including: generative/agentic, computer vision, and RF/EW. These AI systems span the deployment spectrum from Lockheed Martin internal enterprise and cloud environments to edge compute platforms. The position involves both planned project work and rapid ad hoc support, with extensive documentation, automation, and occasional travel for field demonstrations.
Key Responsibilities
Collaborate closely with multiple AI Red Teams to design, architect, and implement adversarial AI capabilities for autonomous agents, computer vision systems, and RF and EW systems, translating state-of-the-art research into production-ready code.
Design and build a modular, extensible red-teaming framework that enables repeatable, user-driven evaluations.
Design user-facing interfaces and workflows (CLI, web UI, APIs, CI/CD pipelines) and documentation to enable internal and future third-party users to execute red team activities with minimal subject matter expertise.
Integrate open-source, commercial, and inner-source solutions into a cohesive platform, handling packaging, versioning, release, dependency management, and maintenance.
Develop and maintain CI/CD pipelines (GitLab, Azure DevOps, or equivalent) with automated testing, security scans, and deployment to cloud and containerized/VM-based environments.
Coordinate with Infrastructure Operations (InfraOps) stakeholders for virtualized, containerized, and cloud-based Linux environments, including configuration, orchestration, DISA STIG compliance, and lifecycle maintenance.
Implement observability (structured logging, metrics, dashboards) using Splunk, Prometheus, Grafana, LangFuse, OpenTelemetry, and ensure full traceability for debugging, performance analysis, operational reliability, and audit.
Develop GPU-enabled software workloads (NVIDIA drivers, CUDA, container runtimes) and continuously optimize performance and stability.
Champion secure development practices - embed threat modeling, code reviews, and DevSecOps controls throughout the software lifecycle.
Coordinate development and deployment activities across classified (on-site) and unclassified (remote) environments while ensuring secure and reliable operations.
What's In It For You
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, 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.
This position is a hybrid role with mostly remote work, however due to the need for occasional onsite work the candidate will need to be near a major Lockheed Martin site such as Moorestown NJ, Dallas TX, or Orlando FL.
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Basic Qualifications:
Demonstrated experience in software development in cloud or Kubernetes-cluster environments.
Hands-on engineering experience with building tools, frameworks, and automation integrated with GitLab, cloud, DevSecOps, or CI/CD pipelines.
Demonstrated experience developing microservices (preference for Python).
Demonstrated ability to author high-quality documentation (design specs, runbooks, API guides).
Desired Skills:
Demonstrated experience in systems engineering, software architecture and design, test-driven development, and collaborative reviews.
Experience containerizing applications (i.e., Docker, Podman) and deploying them to scaled Kubernetes/OpenShift environments via infrastructure-as-code (e.g., Ansible, Helm).
Experience building AI agents using frameworks (e.g., CrewAI, AutoGen, LangChain/LangGraph).
Experience working with vector databases (e.g., AWS OpenSearch, Weaviate).
Experience with modern web frameworks (e.g., React, NextJS).
Experience working with deep learning frameworks (e.g., PyTorch, TensorFlow).
Experience with the Lockheed Martin AI Factory platforms (i.e., Panel, Genesis, Navigator).
Experience with adversarial machine-learning, AI security research, and implementation.
Experience administering Splunk and dashboards/alerts with Prometheus & Grafana.
Experience using LangFuse and OpenTelemetry for traceability and observability.
Experience with virtualization/hosting platforms (VMware, Hyper V, KVM) and secure remote access workflows.
Experience applying secure-coding best practices, STIGs, vulnerability remediation, and automated CI/CD security testing.
Familiarity with GPU compute ecosystems (NVIDIA drivers, CUDA, container runtimes) and performance profiling.
Ability to work effectively across classified and unclassified environments, adhering to all applicable security policies.
Familiarity with AI security or adversarial ML.
Current DoD?8570 baseline certification (IAT?II or higher).
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: TS/SCI
Other Important Information You Should Know
Expression of Interest: 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: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(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.
This position is incentive plan eligible.
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help 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, develop, 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. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: No
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
