Chief MS&A Engineer
NextGen Federal Systems is seeking a Chief Modeling, Simulation and Analysis (MS&A) Engineer to lead our engineering efforts in either Dayton Ohio, Aurora Colorado, or Huntsville Alabama.
Responsibilities
Serve as the Lead MS&A Engineerresponsible for defining the technical strategy, architecture, and analytical approach for simulation and mission engineering activities.
Provide technical leadership to multidisciplinary teams of systems engineers, modeling and simulation engineers, software engineers, and mission analysts.
Develop technical roadmaps and establish MS&A priorities based on mission objectives, customer requirements, and program decision needs.
Present analytical results, technical findings, trade studies, and recommendations to Government customers and program leadership.
Establish MS&A best practices, including modeling priorities, analytical workflows, required tools, data, and enabling technologies.
Develop integrated MS&A workflows that connect system and subsystem models to evaluate end-to-end mission performance and system effectiveness.
Develop automated analytical workflows for scenario generation, model execution, data processing, optimization, visualization, and results assessment.
Apply tools including Ansys STK, Ansys Fluent, ModelCenter, Cameo Systems Modeler, MATLAB/Simulink, and other Government and commercial modeling and simulation tools.
Lead development of mission-level and system-level modelsand simulations supporting missile, space, Integrated Air and Missile Defense (IAMD), and advanced weapon-system analysis.
Develop and integrate models supporting missile trajectories, engagement geometries, orbital mechanics, sensor performance, RF propagation, communications, EW, threat representation, and mission effectiveness.
Develop analytical mission threads addressing detection, tracking, targeting, engagement, intercept, battle management, and mission assessment.
Develop and integrate multidisciplinary models across domains including propulsion, guidance/navigation/control, aerodynamics, RF, radar, EO/IR, communications, EW, thermal, structures, and space systems.
Lead digital engineering activitiesin coordination with partner SMEs
Lead trade-space exploration, sensitivity analysis, optimization, Monte Carlo analysis, and Design of Experiments (DOE) to evaluate alternative system architectures, technologies, and mission concepts.
Lead verification and validation of models and analytical workflows to ensure results are technically credible, repeatable, and suitable for engineering decision-making.
Oversee a multi-tenanted digital engineering environmentwhich integrates multiple COTS & GOTS modeling, simulation, and analysis tools.
Define, design, and implement APIs, adapters, and interfaces required to connect engineering models, simulations, data sources, and analytical tools.
Containerize, deploy, and test modeling and simulation capabilities within cloud and on-premises computing environments.
Requirements
BS, MS, or PhD in Aerospace Engineering, Systems Engineering, Electrical Engineering, Computer Science, Physics, Applied Mathematics, or a related technical discipline.
10+ years of systems engineering, modeling and simulation, digital engineering, or mission engineering experience.
Demonstrated experience leading technical teams performing missile, space, IAMD, aerospace, or weapon-system modeling and analysis.
Experience developing and executing system-level and mission-level simulations to support engineering decisions, architecture assessments, trade studies, and mission effectiveness analysis.
Experience in one or more of the following technical areas:
Missile trajectories and flight dynamics
Guidance, Navigation, and Control (GNC)
Missile engagement and intercept analysis
Satellites, orbital mechanics, and space mission analysis
Radar, RF, EO/IR, and sensor performance
Communications and data-link architectures
Integrated Air and Missile Defense
Command and Control / Battle Management
Threat and weapon-system performance
Experience performing trade studies, sensitivity analyses, optimization, Monte Carlo analysis, DOE, and mission effectiveness assessments.
Experience developing technical artifacts including requirements, CONOPS, mission threads, system architectures, analytical plans, interface definitions, test plans, and analysis reports.
Experience working within Agile software development and DevSecOps engineering environments.
Experience collaborating across Government customers, system engineers, software developers, mission analysts, and modeling and simulation teams.
Strong written and verbal communication skills with the ability to communicate complex analytical results to technical and Government leadership audiences.
Active Top Secret security clearance with SCI eligibility.
Technical Qualifications
Experience integrating ModelCenter, Ansys STK, MATLAB/Simulink, and/or equivalent engineering and MS&A tools.
Experience developing analytical automation using Python, C++, and/or Java.
Experience integrating engineering applications through APIs, data interfaces, messaging frameworks, and custom adapters.
Experience deploying modeling and simulation applications using Docker, Podman, Kubernetes, and cloud-based computing environments.
Ability to translate mission and system-level questions into Measures of Performance (MOPs), Measures of Effectiveness (MOEs), analytical experiments, and defensible engineering conclusions.
Ability to work closely with software and systems engineers to evolve the overall modeling and digital engineering architecture.
Desired Qualifications
Experience supporting missile defense, hypersonics, strategic systems, space systems, IAMD, or advanced weapon-system programs.
Experience with STK Astrogator, STK Analyzer, and/or STK EOIR.
Experience with AFSIM or other mission-level constructive simulation environments.
Experience developing digital mission engineering workflows connecting MBSE, physics-based models, mission simulations, and analytical results.
Experience with model verification and validation, uncertainty quantification, and analytical credibility assessment.
Experience with High Performance Computing (HPC) or distributed execution of large-scale simulation campaigns.
Experience applying AI/ML to model development, simulation automation, surrogate modeling, optimization, or mission analysis.