Mission Analysis Engineer – Aerospace Systems - TS/SCI Clearance

Orchard • Herndon, VA

1d • Onsite

About The Position

This role involves solving complex, real-world challenges across space, cyber, maritime, and other mission domains by evaluating everything from individual sensor performance to integrated system and mission-level capabilities. You will use modeling, simulation, data analysis, and engineering judgment to answer critical questions about mission design, architecture performance, limitations, and the impact of changes in mission, environment, or technology. The position offers the opportunity to build and run simulations of satellites, aircraft, sensors, and operational scenarios, explore alternative concepts and system designs, and translate large volumes of simulation data into actionable insights for engineers, customers, and senior decision-makers. There is also room to build new capabilities, improve simulation methods, develop tools and automation, and influence the technical direction of future space and airborne systems. This role is ideal for individuals who enjoy tackling difficult technical problems, experimenting with different approaches, and seeing their analysis inform real engineering and mission decisions.

Requirements

• US citizenship and an active TS/SCI clearance, or TS with SCI eligibility, are mandatory.
• Bachelor’s degree from an accredited college/university in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics, or Computer Science.
• Willing to work on-site in a classified facility.

Nice To Haves

• Advanced degree in engineering, physics, applied mathematics, computer science, or a related technical field, or equivalent relevant experience.
• A minimum of 2 years industry experience.
• Knowledge or experience in one or more aerospace domains such as astrodynamics, remote sensing, spacecraft or aircraft systems, sensor performance, aerospace operations, mission engineering, or complex systems integration.
• Experience developing, implementing, or evaluating mathematical models, algorithms, simulations, or other quantitative engineering methods.
• Experience using Python or similar programming/scripting tools to automate analyses, manipulate data, develop engineering tools, or extend modeling and simulation capabilities.
• Ability to work through open-ended technical problems, evaluate assumptions and risks, and turn analytical results into defensible conclusions and recommendations.
• Experience working with customers or multidisciplinary teams to understand mission needs, communicate technical findings, and develop practical solutions.
• Ability to communicate complex technical concepts clearly to audiences ranging from fellow engineers to customers and senior decision-makers.
• A collaborative mindset, intellectual curiosity, and enthusiasm for solving challenging problems that have a direct impact on the mission.
• Experience in space or airborne modeling and simulation.
• Experience in ISR, remote sensing, or sensor phenomenology.
• Experience in mission-, system-, or architecture-level trade studies.
• Experience in analysis of large simulation or engineering datasets.
• Experience in development of engineering analysis tools, automation, or visualization capabilities.
• Experience supporting technical studies or analyses for government customers.

Responsibilities

• Model complex aerospace missions.
• Develop, modify, and run high-fidelity simulations of satellites, aircraft, sensors, and ISR systems to understand mission and system performance.
• Compare architectures, technologies, operating concepts, and system configurations to identify performance drivers, limitations, risks, and opportunities.
• Build realistic operational scenarios that capture customer objectives, mission constraints, environments, and system behavior.
• Create tools, scripts, automation, visualizations, and new simulation capabilities that make analyses faster, deeper, and more repeatable.
• Work with large simulation datasets to uncover trends, explain system behavior, and translate technical results into meaningful conclusions.
• Evaluate model assumptions, inputs, outputs, and analytical methods through thoughtful QA/QC and engineering judgment.
• Communicate findings, trade-offs, and recommendations to engineers, program leaders, senior decision-makers, and customers.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level