Adversarial AI Software Engineer Associate Manager

Lockheed Martin

Hybrid

Quick summary

Work type
Hybrid
Location
Colorado Springs, CODallas, TXEagan, MNKing of Prussia, PAMoorestown, NJOrlando, FL
Salary
$132,900–$234,370 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $184k
$121k most similar roles pay here $248k

This role pays less than 62% of similar roles. Most pay $162,000–$236,037 — the shaded band above. At the midpoint, this role pays about $184k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Lockheed Martin

Lockheed Martin is a global aerospace, defense, and security company that designs, develops, and manufactures advanced technology systems, products, and services for government and commercial customers worldwide.

Lockheed Martin currently has 611 open roles on FindRole.

Listed pay typically runs $101,000–$178,135 across 304 roles with salary data.

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View all roles at Lockheed Martin

At a glance

TL;DR · Adversarial AI Software Engineer Associate Manager

Join our Lockheed AI Center Red Team as a senior software engineer and architect to lead the development of an advanced adversarial AI platform. You will design, develop, and integrate tools for evaluating AI systems across various domains including generative agents, computer vision, and RF/EW, ensuring seamless operation in both cloud and edge environments. Your daily tasks include managing a small team, creating modular frameworks, and developing user-friendly interfaces with extensive documentation. Key technologies involve Python, Docker, Kubernetes, GitLab CI/CD pipelines, and tools like Splunk, Prometheus, and OpenTelemetry for observability. This role demands expertise in secure coding practices, DevSecOps, and experience with AI security research and implementation, all while navigating the complexities of classified and unclassified environments.

What you'll do

  • Lead the design and development of an AI red teaming platform for adversarial AI capabilities.
  • Build a modular, extensible framework enabling repeatable evaluations of AI systems.
  • Develop user-facing interfaces and documentation for internal and third-party users.
  • Integrate open-source, commercial, and custom solutions into a cohesive platform.
  • Coordinate with InfraOps stakeholders for virtualized environments and compliance.
  • Implement observability using Splunk, Prometheus, Grafana, and OpenTelemetry.

What we're looking for

  • Extensive experience in developing and delivering software products for enterprise deployment.
  • Hands-on expertise in building tools, frameworks, and automation with GitLab, cloud, DevSecOps, and CI/CD pipelines.
  • Demonstrated ability to containerize applications using Docker or Podman and deploy them to Kubernetes/OpenShift environments via infrastructure-as-code.
  • Proven experience leading a small team, managing projects, and applying secure coding practices in development processes.
  • Familiarity with AI security, adversarial ML, and building AI agents using frameworks like CrewAI, AutoGen, LangChain/LangGraph.
  • Experience with modern web frameworks (React, NextJS) and deep learning frameworks (PyTorch, TensorFlow).

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