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1–2 jobs· newest first

Senior Staff AI Systems EngineerNew
Northrop Grumman · Linthicum, US
$223K–$334KOn-site · Full-time · Senior
Senior Staff AI Systems EngineerNew
Northrop Grumman · Linthicum, US
$223K–$334KOn-site · Senior

+10K new in the last hour

Senior Staff AI Systems Engineer

Northrop Grumman · Posted Nov 11, 2026

Linthicum, Maryland, United States
On-site
Full-time · Senior
$223K–$334K per year

10+ years

Apply with RefersoAI Apply on careers page

Compensation

Primary Level Salary Range: $222,700.00 - $334,100.00

Responsibilities

Senior consultant for AI/ML target identification and classification for onboard real-time environments.
Design and implement algorithms using machine learning and sensor fusion for multi-modal target recognition.
Define data strategies including collection, labeling, simulation, synthetic data generation, domain adaptation, and data quality governance.
Develop training and evaluation pipelines with rigorous performance metrics.
Architect resilient real-time embedded solutions to execute within existing software architecture.

Requirements

Bachelor's Degree
Master's Degree
PhD
Nice to have: SAR processing
Nice to have: GMTI/SMTI

Skills

machine learning algorithms sensor fusion data strategies training pipelines embedded solutions MATLAB Python C++11+Linux real-time AI systems synthetic data generation transfer learning adversarial training

Benefits

Health Plan
Savings Plan
Paid Time Off
Education Assistance
Training and Development

See full job description

Senior Staff AI Systems Engineer

Northrop Grumman · Posted Nov 11, 2026

Linthicum, Maryland, United States
On-site
Senior
$223K–$334K per year
10–14 years

Apply with RefersoAI Apply on careers page

Lead the architecture, development, and deployment of AI-enabled target recognition systems across multi-function RF sensors.

Compensation

Primary Level Salary Range: $222,700.00 - $334,100.00

Responsibilities

Senior consultant for AI/ML target identification and classification for onboard real-time environments.
Design and implement algorithms using machine learning and sensor fusion for multi-modal target recognition.
Define data strategies including collection, labeling, simulation, synthetic data generation, domain adaptation, and data quality governance.
Develop training and evaluation pipelines with rigorous performance metrics.
Architect resilient real-time embedded solutions to execute within existing software architecture.

Requirements

Bachelor’s Degree
Master’s Degree
PhD
Nice to have: SAR processing
Nice to have: GMTI/SMTI

Skills

machine learning algorithms target recognition sensor fusion data strategies

synthetic data generation

domain adaptation

performance metrics

embedded solutions

HIL/SIL/flight/field test planning

real-time mission-critical AI systems

Benefits

Health Plan
Savings Plan
Paid Time Off
Education Assistance
Training and Development

See full job description