LMI is seeking a Senior Mathematics and Astrodynamics Engineer in Colorado Springs, CO to join a dynamic team providing support to an Intelligence Community client. The Sr. Mathematics and Astrodynamics Engineer is proficient on methods for determining the position of objects with uncertain information, translating this information between different frames of reference, accounting for systematic and random noise, propagating these positions into future states based on complex force models, and managing computational complexity of algorithmic approaches. This person requires a deep understanding of the statistics and astrodynamics that underpinning methods employed in studies, analysis, tool development, and algorithm development efforts to properly accounts for these complex factors as described in the SOW. The ideal candidate will have considerable experience developing algorithms and engineering tools for IC and/or DoD satellite systems in Sensitive Compartmented Information (SCI) or Special Access Program (SAP) environments, have an exceptionally strong mathematical and orbit analysis background, and be able to develop and execute your work assignments from general guidance and objectives provided by management.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

This position requires an active TS/SCI clearance. CI Poly desired.

• Designing, developing, using and evaluating mathematical models, methods, and algorithms to manipulate large data sets and create engineering software tools to enable solving analytical questions or problems
• Refining and enhancing existing engineering tools to make them more functional or usable by others
• Generating or participating in orbital analyses or trade studies
• Formulating and interpreting problems in mathematical or computational terms
• Developing and maintaining in-depth knowledge of U.S. Space Domain Awareness (SDA) capabilities, as well as Foreign SDA capabilities and counter-space threats
• Conducting tasking and collection of Space Object Surveillance and Identification (SOSI) data and participating in the subsequent data analysis function
• Frequently interacting with program managers, SETAs, FFRDCs and external stakeholders
• Developing productive relationships with the Program Office, Prime, and Subcontract counterparts, functional IC or DoD counterparts, and other SMEs
• Repeated use and application of technical standards, principles, theories, concepts and techniques

Required

• Graduate degree in Astronomy, Astrodynamics, Statistics, Mathematics, Applied Physics or other related technical discipline and eight (8) years of relevant experience or a PhD and four (4) years of relevant experience.
• Active TS/SCI required. US Citizenship required

Desired

• Experience in satellite development factory or space system program office (SPO), particularity with Geosynchronous Equatorial Orbit (GEO) systems
• Working knowledge of radar and/or optical technologies
• Familiarity with National Security Space architecture (IC and/or DoD)
• Proficiency using Orbit Determination Tool Kit (ODTK), MATLAB, Linux, and Java and Python
• Overhead IMINT and/or SIGINT and geolocation experience
• Active TS/SCI with CI Poly desired.

Target salary range: $104,040 - $183,600

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.