Principal / Senior Modeling Simulation & Performance Analysis Systems Engineer

Northrop Grumman•Baltimore, MD

8d•$108,800 - $203,600•Onsite

About The Position

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. We are looking for a Principal Modeling Simulation and Analysis Engineer or Senior Principal Modeling Simulation & Performance Analysis Systems Engineer to join our team in Baltimore, MD. This position requires 100% on-site work. As an integral member of the Modeling, Simulation and Analysis Section and the broader Systems Engineering team, you will accelerate delivery of capabilities to our customers through performance engineering, software integration, and test activities that leverage credible modeling, simulation, experimentation, and analysis. You will apply MS&A techniques with a focus on systems and software performance analysis across all phases of radar systems engineering to assess, validate, and optimize system and subsystem performance, interacting with IQ data from simulated and real-world collections, following it through the radar processing chain, and working closely with M&S and radar mode teams to identify and resolve deficiencies in both modeled data and operational modes.

Requirements

Bachelor’s degree with 5 years of experience, a Master’s degree with 3 years of experience or a PhD with 1 year of experience in Science, Technology, Engineering or Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree.
U.S Citizenship is required.
A current/active U.S. Government Secret Clearance.
Ability to obtain/maintain Special Access Program (SAP) access.
Experience in modeling, simulation, experimentation, and analysis
Experience with programming languages like Python, C/C++, as well as scripting in Linux/Windows environments, and experienced in statistics, design of experiments, and high-performance computing.
Experience with DoD testing and acquisition principles, with hands-on experience in developmental testing, planning, and execution of weapon tests.
Bachelor’s degree with 8 years of experience, a Master’s degree with 6 years of experience or a PhD with 4 years of experience in Science, Technology, Engineering or Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree.
Experience with DoD testing and acquisition principles, with hands-on experience in developmental testing, planning, and execution of weapon tests.

Nice To Haves

Advanced degrees in Science, Technology, Engineering or Mathematics or related technical fields.
Active Top Secret Clearance or higher.
Experience with JMP, R, or other domain specific environments supporting data exploration, visualization, and statistical analysis.
Domain experience in simulations of RF, EOIR, Communications, or related systems.
Experience with optimal estimation theory (Maximum likelihood estimation, minimum mean squared error, Kalman filtering, Wiener filtering, particle filtering, Cramer-Rao lower bound).
Experience with adaptive signal processing (space time adaptive signal processing, MVDR, Multiple Signal Classification)
Understanding of the Systems Engineering and Integration & Test processes.
Experience with Agile and/or SAFe methodologies.
Experience optimizing multiple subsystem performance within a large solution space.
Demonstrated technical leadership with small teams and/or mentoring.

Responsibilities

Perform performance-focused modeling and simulation on high-performance computing grids to evaluate and optimize system and subsystem behavior, conduct trade studies, and generate systems engineering documents, reports, and operational documentation.
Utilize Modeling, Simulation, Experimentation, and Analysis (MSE&A) frameworks to support software integration, algorithm development, and radar mode validation, ensuring consistency between modeled environments and real-world data.
Assess system capabilities by linking system and subsystem requirements to performance metrics and mission threads, defining and verifying interfaces and their connections that enable mission execution, and supporting integration and test activities during development.
Support systems engineering radar algorithm validation by tracing IQ data through the radar processing chain, comparing modeled and collected data, and identifying performance shortfalls and corrective actions.
Plan, generate, and execute verification and validation artifacts supporting system design verification testing and system acceptance testing, including test plans, procedures, and data review packages.
Develop and improve performance models, simulation frameworks, and analysis tools, including physics-based radar models, threat and environment models, and command-and-control interactions, to accurately represent system behavior under varied conditions.
Perform large-scale data analytics, probabilities, and statistics, including the application of design of experiments techniques for the evaluation of system and mission performance, algorithm robustness, and sensitivity to key parameters.
Collaborate with interdisciplinary teams (M&S, software, radar modes, systems integration & test) to diagnose performance issues, recommend design changes or tuning, and ensure integrated solutions meet performance requirements.
Generate and present technical material to support internal and external customer briefings, technical reviews, and design/test readiness events.
Innovate to solve problems and identify improvements across MSE&A products, performance analysis workflows, and integration/test approaches.
Develops, integrates, and uses advanced graphical user interfaces and visualization tools to explore, validate, and communicate performance results.