Apply advanced analytical methodologies to complex data and evolving mission requirements to support government customers in counterterrorism, trafficking interdiction, threat mitigation, and national security missions.
Locations (3)
Washington, District of Columbia, United States
Virginia, United States
Maryland, United States
Compensation
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.
Responsibilities
Analyze diverse and complex data sources to identify spatial, temporal, behavioral, and other patterns, relationships, trends, anomalies, and indicators of criminal or nefarious activity.
Transform, develop, and analyze raw and structured data to generate timely and actionable findings for operational missions.
Apply analytical methodologies, investigative techniques, and specialized tools to identify previously unknown actors, activities, relationships, and patterns in support of threat identification, interdiction, force protection, criminal investigations, and prosecution.
Develop and deliver tailored analytical products using charts, maps, timelines, visualizations, infographics, written assessments, and briefings to support operational decision-making.
Work directly with operational customers and government leadership to understand mission requirements, refine analytical approaches, communicate findings, and provide analytic reach-back support.
Requirements
Bachelor’s degree in a relevant discipline such as data science, criminal justice, intelligence analysis, geography, computer science, or a related field, or equivalent relevant experience
Nice to have: Master’s degree
Nice to have: experience in law enforcement, military, or federal government
Software Engineer / Principal Software Engineer developing, testing, and debugging software for navigation systems at Northrop Grumman Mission Systems.
Seeking experienced digital and RF subsystem integration and test engineers and technical leads for digital receiver/exciter and related digital-RF subsystem integration, control design, and architecture.
Developing and evaluating spacecraft and mission architectures, concepts of operations (CONOPS), design reference missions, and operational scenarios.
Performing mission-level analyses and technical trade studies.
Assessing spacecraft day-in-the-life operations and developing mission sequences for launch, commissioning, on-orbit operations, and contingency scenarios.
Collaborating across spacecraft, payload, guidance, navigation and control (GNC), software, communications, ground, and mission-operations teams to develop an integrated spacecraft and mission solution.
Working with mission partners to model and mature mission elements, operational concepts, interfaces, and execution plans.
Design and build the AI data layer for a multi-cloud GPU fleet, including data placement, caching, tiering, and lifecycle management on Kubernetes and Slurm.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Responsibilities
Design and build the AI data layer for a multi-cloud GPU fleet
Build high-throughput data paths for training and RL
Build Kubernetes-native APIs, operators and storage integrations
Own quotas, capacity and data lifecycle across hundreds of research teams
Measure workloads use of data and build I/O telemetry
Requirements
BS or MS in Computer Science, Computer Engineering, Electrical Engineering or a related field, or equivalent experience
Build and validate statistical and machine learning models, including regression, classification, survival analysis, clustering, and key-driver analysis
Design rigorous analyses, including quasi-experimental and causal inference approaches
Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance
Conduct open-ended discovery, test hypotheses, explore anomalies and weak signals
Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale
Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus
Develop advanced imaging and computational solutions for next-generation eBeam inspection systems.
Compensation
Base Pay Range: $186,200.00 - $316,500.00
Responsibilities
Collaborate with electron optics and systems engineering teams to model SEM image formation and understand imaging performance, aberrations, and other physical effects.
Develop advanced image restoration and defect detection algorithms for low signal-to-noise SEM imaging.
Apply computer vision, image processing, deep learning, and physics-guided modeling techniques to semiconductor inspection challenges.
Design and develop digital twin and synthetic SEM simulation capabilities for internal data generation, modeling, and experimentation.
Partner with applications teams and customers to understand semiconductor manufacturing processes, including lithography, etch, and deposition, and their impact on SEM imaging.
Requirements
Master's degree or Ph.D. in Computer Science, Electrical Engineering, Physics, Applied Physics, Applied Mathematics, Optical Engineering, or a related technical discipline.