Northrop Grumman
Aerospace · Defense
- HQ
- Falls Church, US
- Founded
- 1994
- Size
- 65,000+
- Website
- northropgrumman.com
Aerospace · Defense
Currently tracking 12 active AI roles, with 2062 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $83k–$292k (avg $184k).
Northrop Grumman currently has 15 active job listings related to artificial intelligence. The company's hiring is concentrated in roles focused on agents and serving infrastructure, each representing 33% and 27% of the listings, respectively, with post-training roles also at 27%. Engineering is the primary function for these positions, with all roles located in the United States. Frequent technical tags include agent orchestration, evals, and model serving, suggesting a focus on the practical deployment and evaluation of AI systems. In the last 30 days, Northrop Grumman has posted 14 new AI roles, a significant increase from the previous 30-day period.
Northrop Grumman currently has 14 active AI-related roles in our index. The most common open titles are: AI Systems Engineer (Principal or Sr. Principal Level), Algorithm Software Engineer - Level 4, Engineer / Principal Systems Engineer - Prognostics / PHM, Machine Perception (MP) Engineer – Level 3 or 4, Principal / Sr Principal AI Software Engineer. Most positions are in Engineering.
Northrop Grumman's active AI hiring is concentrated in: data (50%), post-training (29%), serving infrastructure (21%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Northrop Grumman is hiring AI talent in: United States (14 roles).
Job postings at Northrop Grumman most frequently mention: C++, Software Engineering, Python, NumPy & Pandas, Machine Learning.
In the past 30 days, Northrop Grumman has posted 21 new AI-related roles. That is a +62% change versus the prior 30 days (13 → 21).
| Title | Stage | AI score |
|---|---|---|
| Associate AI Software Engineer (Level 1) Associate AI Software Engineer (Level 1) at Northrop Grumman focused on Reinforcement Learning (RL) and Supervised Learning (SL) for space and aerospace programs. Responsibilities include novel algorithm R&D, prototyping in Python/JAX/PyTorch, porting to C++/CUDA, developing physics-based autonomy for mission planning, anomaly detection, and flight readiness testing. Requires an active Top Secret clearance and experience with ML/RL in a product line environment, coding from literature, and physics-based AI applications. | AgentData | 9 |
| AI Engineer Software (Level 2 or 3) AI Software Engineer at Northrop Grumman to build and fine-tune RAG pipelines, Agentic AI pipelines, and LLM solutions. The role involves rapid prototyping, model integration, performance monitoring, data preparation, and continuous improvement, working closely with product owners, data scientists, and senior engineers to ship reliable, scalable AI services. Requires proficiency in Python and familiarity with RAG/agentic AI concepts, cloud platforms, and MLOps. | AgentPost-train | 8 |
| Staff AI Software Engineer Staff AI Software Engineer at Northrop Grumman focused on developing and deploying AI solutions for defense customers, including LLMs, agentic AI, and various machine learning algorithms. The role involves leading teams, prototyping advanced AI techniques, and collaborating with cross-functional teams to integrate AI into production systems. | AgentData | 8 |
| Software Engineer: Automation/AI - Level 2 or 3 (Chandler) Software Engineer role focused on developing, deploying, and automating AI/ML solutions, including LLMs and agentic frameworks, within a DevOps environment. Requires experience with CI/CD, containerization, cloud deployment, and integrating models with tools like LangChain. The role involves building and maintaining software solutions, automating workflows, and supporting infrastructure for AI applications. | AgentServe | 7 |
| Principal Systems Engineer Principal Systems Engineer to architect and deliver the Digital Engineering Ecosystem (DEE), an integrated IT backbone for connecting data, models, and engineering tools. The role involves leading AI/ML integration, including intelligent data pipelines, anomaly detection, and predictive analytics, within a government compliance framework. Responsibilities include systems engineering, MBSE, IT infrastructure architecture, and evaluating AI/ML tools. | AgentData | 7 |
| Staff Engineer Software Staff Engineer Software role at Northrop Grumman focusing on R&D for Joint All Domain Command and Control (JADC2) advanced studies, utilizing cloud technologies, AI/ML, and optimization methods. The role involves leading software development and integration teams, gathering requirements, prototyping, and creating complex solutions. Requires strong software engineering skills, experience with Agile DevOps, various programming languages (Java, C++, Python), microservices, containerization, CI/CD, and database technologies. Experience with AI/ML algorithm development is preferred. Requires a Top Secret clearance. | Agent | 7 |
| Software Engineer 2/3 Software Engineer to design, build, and maintain cloud-based applications powering analytics and AI solutions, focusing on LLM-powered applications including prompt design, context engineering, RAG pipelines, tool calling, and agent evaluation. Responsibilities include full-stack development, back-end services, front-end interfaces, and cloud infrastructure integration. | Agent | 7 |
| Software Engineer: Automation/AI - Level 3 (Chandler) Software Engineer with expertise in C++ and Python, focusing on designing, developing, and maintaining software solutions, managing DevOps processes, automating workflows with CI/CD pipelines, and supporting containerized development environments and infrastructure. The role involves developing and deploying AI/ML solutions, integrating models into applications or agentic frameworks, understanding LLMs, hosting AI/ML models in cloud or on-premise environments, and utilizing vector databases and RAG techniques. | AgentServe | 7 |
| AI Systems Engineer (Engineer or Principal Engineer Level) AI Systems Engineer at Northrop Grumman responsible for incorporating AI into system of system architectures and ensuring the development of AI-enabled systems. The role involves developing integration and test procedures, creating and analyzing system models, and applying knowledge from various disciplines to architect and design systems. It specifically mentions testing multi-agent systems employing algorithms for detection, decision, pattern recognition, and prediction, and defining system requirements for a new class of systems. | Agent | 7 |
| AI Systems Engineer (Principal or Sr. Principal Level) AI Systems Engineer role at Northrop Grumman focused on incorporating AI into system-of-system architectures and developing AI-enabled systems. The role involves developing integration and test procedures, verification and validation approaches, and system operations plans. It requires creating and analyzing system models, working with various AI development environments, and applying knowledge from diverse disciplines. A key aspect is using emerging V&V approaches for multi-agent systems and defining system requirements for new AI classes. | Agent | 7 |