Northrop Grumman has 12 active job listings related to artificial intelligence. The company is hiring for roles across several stages of AI development, with a significant focus on serving infrastructure, agents, and post-training stages, each representing 33%, 25%, and 25% of the listings respectively. Engineering is the primary function for these roles, and all positions are located in the United States. Frequently mentioned technical tags include agent orchestration, evals, and model serving, suggesting an emphasis on operationalizing AI systems. In the last 30 days, Northrop Grumman has posted 12 new AI roles.
Currently tracking 8 active AI roles, up 222% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $111k–$292k (avg $195k).
Northrop Grumman currently has 12 active AI-related roles in our index. The most common open titles are: Principal / Sr. Principal Signal / Image Processing Engineer (2), AI Systems Engineer (Engineer or Principal Engineer Level), AI Systems Engineer (Principal or Sr. Principal Level), Discrimination Algorithm Engineer (Level 3 or 4) Secret (Chandler), Engineer Electrical/Principal Electrical Engineer. Most positions are in Engineering.
Northrop Grumman's active AI hiring is concentrated in: serving infrastructure (33%), agents (25%), post-training (25%). 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 (12 roles).
Job postings at Northrop Grumman most frequently reference: agent orchestration, evals, inference infra, model serving, agent research.
In the past 30 days, Northrop Grumman has posted 12 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research/Principal Research Scientist Level 2/3 Research/Principal Research Scientist role focused on process development and automation for composite aerospace structures, involving material science, advanced resin systems, fiber reinforcements, and diagnostic techniques. The role requires developing new material systems for automated fabrication and solving technical issues using root cause methodologies. | — | 0 |