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.
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 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 |
|---|---|---|
| Principal / Sr Principal AI Software Engineer Northrop Grumman is seeking an AI Software Engineer to develop, adapt, and maintain AI/ML-enabled software solutions for embedded electronic warfare and radar operational flight programs. The role involves the full AI/ML development lifecycle, including data preparation, model development, evaluation, MLOps, integration, validation, deployment, and monitoring, with an emphasis on real-time, safety-critical, or resource-constrained environments. Technical leadership in designing advanced algorithms and AI/ML architectures is expected, along with collaboration with stakeholders to translate mission needs into AI/ML capabilities. The position requires proficiency in C/C++ or Python and experience with ML libraries, and a DoD Secret security clearance. | ServePost-train | 8 |
| Machine Perception (MP) Engineer – Level 3 or 4 Machine Perception (MP) Engineer for Spacecraft Guidance, Navigation, and Control (GNC) department. Designs, develops, integrates, and tests machine perception algorithms for real-time on-board processing on space vehicles and near-real-time processing within ground systems. Involves testing, validation, tuning, collaboration, data analysis, and preparing technical documentation. Experience with Computer Vision, AI, ML, and imaging sensors is required. Experience with spacecraft navigation, robotics, and embedded processing is preferred. | ServeData | 7 |