2025 Sensor Modeling and Simulation Analysis Engineer
| Company | The Aerospace Coporation |
|---|---|
| Location | Chantilly, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Entry Level/New Grad, Junior |
Requirements
- Master’s or Ph.D. degree in Remote Sensing, Imaging Science, Astronomy, Physics, Mathematics, Atmospheric Science, Computer Science, Optical or Electrical Engineering, or another related discipline pursuing or conferred within last 12 months.
- Minimum GPA of 3.0.
- 0-1 year of industry experience
- Strong scientific programming skills in at least one of: Python, C++, Matlab, IDL, etc.
- Strong analytical and creative problem-solving skills.
- This position requires the ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance.
- Transcripts required.
Responsibilities
- Applying SMSD and COTS analysis tools and techniques for applications including image chain modeling, scene simulation, spectroscopy, computer vision, change detection and tracking, space domain awareness, lidar and 3D remote sensing, radio frequency remote sensing, product quality metrics, optics, calibration, and/or data simulation.
- Applying best practices for modeling & simulation software development to augment existing software capabilities.
- Advising internal Aerospace customers on operational and R&D remote sensing system performance.
- Performing, documenting, and presenting results of studies to inform and influence decisions.
- Duties, responsibilities and activities may change, or new ones may be assigned as needed.
- Training and mentorship will be provided.
Preferred Qualifications
- Undergrad GPA of 3.5 or higher.
- PhD degree
- Leadership ability to mentor, teach, or coach others.
- Experience with any or all of the following, through coursework and/or prior internship(s): Electro-optical system modeling, simulation, design, data processing, calibration, characterization, phenomenology, or applications.
- Computation of sensor performance figures of merit (e.g., SNR, NESR).
- Evaluation of sensor hardware performance.
- Synthetic scene generation (with tools such as DIRSIG or Unreal Engine).
- Modeling atmospheric radiative transfer effects (with tools such as MODTRAN).
- Agile software development and Atlassian tools (Jira, Confluence).
- Active security clearance.