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.