Sensor Modeling & Simulation Software Developer

The Aerospace Corporation is the trusted partner to the nation's space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space‑ delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you'll be part of a special collection of problem solvers, thought leaders, and innovators.

Join us and take your place in space.

At the Mission Payloads Division (MPD), we are pioneers in remote sensing systems that guide our country's space enterprise. Our talented and dynamic people create and flourish in electronics, sensors, radar, artificial intelligence (AI), and advanced data network domains. We boldly advance technology through our research and development and then forward to demonstration and integration. With innovative laboratories and prototyping, MPD delivers groundbreaking results.

We guide our Department of Defense, intelligence community, and civil clients to enhance national productivity and security and tackle the most critical missions. Bring your intelligence and creative spirit and join us at MPD!

The Sensor Modeling and Simulation Department (SMSD) resides within MPD. Our team includes scientists and engineers across a broad range of disciplines actively engaged in developing the next generation of remote sensing systems of national importance. SMSD supports all aspects of advanced remote sensing system development: designing and assessing the performance of optics and electro‑optical focal plane arrays, modeling the end‑to‑end sensing system, developing innovative data processing, and producing simulated data products for new applications.

This is a full‑time position based in Chantilly VA which requires 100% on‑site work.

• Develop well tested, documented and architected software for high‑fidelity modeling and simulation of EO sensors
• Work with Subject Matter Experts to develop modular physics‑based modeling code to evaluate system performance against multiple requirements
• Ensure adherence to development standards and industry best practices
• Identify opportunities to improve performance, maintainability, or testing of new and existing software
• Collaborate across the Aerospace Mod & Sim enterprise to ensure interoperability of department tools with the larger simulation frameworks

• Bachelor's degree in a related STEM field, particularly Computer Science, Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Optical or Electrical Engineering
• Eight years of related post‑grad experience with collaborative software development, numerical methods, and/or physics‑based modeling
• Strong programming and version control skills, ideally C++, Python, and git
• Communication expertise and ability to develop software requirements from engineering code
• Willingness to travel approximately 10% of time
• This position requires ability to obtain and maintain a Top Secret/SCI security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance

• Twelve years of related post‑grad experience
• Track record of leadership and mentorship
• Modeling and simulation of EO sensors

• Advanced degree or degrees in a related STEM field, particularly a combination of Computer Science and Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering
• Agile software development and Atlassian tools
• FORTRAN, MATLAB, or IDL development skills
• Sensor hardware performance and evaluation experience
• Current and active Top Secret/SCI security clearance

We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. The grade‑based pay range for this job is listed below. Individual salaries within…