Senior Staff AI Systems Engineer

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description We are seeking a Senior Staff AI Systems Engineer to lead the architecture, development, and deployment of AI-enabled target recognition systems across multi-function RF sensors. In this role you will be a key contributor on a high performing team to implement end-to-end technical strategy, from data and model design through real-time deployment, with emphasis on performance, robustness, and mission reliability in contested environments. Come join us for this 100% on-site position from Linthicum, MD! What You’ll Get To Do: • 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. • Author technical specifications, interface control documents, and support HIL/SIL/flight/field test planning. • Mentor engineers, lead design reviews, and guide technology maturation. • Engage with customers and stakeholders to translate mission needs into technical roadmaps and executable milestones. This position is contingent upon the successful transfer of an active U.S. Government Secret Clearance and the ability to obtain Special Program Access. Basic Qualifications: • Bachelor’s Degree with 14 years of experience, a master’s degree with 12 years of experience, or a PhD with 10 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years may be considered in lieu of a degree. • U.S Citizenship is required. • A current/active U.S. Government Secret Clearance • Ability to obtain Special Program Access (SAP) • Experience in machine learning algorithms for automatic target recognition • Experience deploying models to embedded multifunction radar platforms. • Experience generating and incorporating synthetic data samples and using them to augment measured samples in a supervised and/or unsupervised training pipeline • undefined • Experience bridging the synthetic-to-real gap through data augmentation, transfer learning, adversarial training techniques, etc. • Experience in software engineering skills in MATLAB, Python, C++11+, and/or Linux • Experience with delivering real-time/mission-critical AI systems with clear performance ownership. Preferred Qualifications: • Experience with SAR processing, GMTI/SMTI, STAP, ATR/AMTI, or RF signal classification. • Knowledge of robustness and assurance methods including uncertainty estimation, calibration, out-of-distribution detection, and adversarial testing. • Background in verification and validation for high-reliability systems and telemetry-driven monitoring. • Understanding of autonomy stack integration, including navigation, planning, and tracking in contested environments. • Active TS/SCI clearance Primary Level Salary Range: $222,700.00 - $334,100.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.