Chief MS&A Engineer

Responsibilities

• Serve as the Lead MS&A Engineer responsible 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 models and 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 activities in 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 environment which 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.