Satellite Communication Analytics Engineer - Mid-level

LMI • Colorado Springs, CO

22h • Onsite

About The Position

LMI is seeking an Analytics Engineer with deep expertise in communication and network modeling to join their dynamic team focused on the space domain. In this role, the engineer will develop, simulate, and analyze complex space infrastructure systems including satellite constellations, ground stations, orbital networks, and resilient architectures. The work will directly inform analytical recommendations for future force design decisions and optimizing space capabilities for mission effectiveness, survivability, resiliency, and strategic superiority. This position is for an analytical thinker who thrives on applying rigorous theory to real-world space challenges, using data-driven simulations to guide high-stakes decisions in defense and national security space sectors. This is an on-site role in Colorado Springs, CO. LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed, investing in technology and prototypes ahead of need. They bring commercial-grade platforms and mission-ready AI to federal agencies at commercial speed, leveraging mission-ready technology, proven expertise, and strategic relationships to enhance outcomes for the government. Headquartered in Tysons, Virginia, LMI serves the defense, space, healthcare, and energy sectors, committed to delivering impactful results that strengthen missions and drive lasting value.

Requirements

• B.S. in Engineering, Physics, Operations Research, or a related field with a strong emphasis on theoretical modeling.
• At least 4+ years of experience (industry, national lab, government, or advanced research settings) in space-related modeling, communication/ground architectures, data network modeling, and scheduling algorithms and operations.
• Strong background in managing and developing complex space systems, specifically with deep expertise in SATCOM architectures as they apply to this mission area for the United States Space Force’s (USSF).
• Demonstrated ability to abstract theoretical concepts into practical models, simulations, and analytical frameworks that drive decision-making.
• Experience with one or more software languages that may include Python, C++, or MATLAB.
• Excellent communication and teamwork abilities, to include briefing SES/SL and GO/FO-level leadership.
• Candidate must possess an active TS/SCI or TS with SCI eligibility clearance.

Nice To Haves

• Advanced degree (M.S. or Ph.D.) in Engineering, Physics, Operations Research, or a related field with a strong emphasis on theoretical modeling.
• Familiarity with force design concepts, mission analysis, or wargaming in space or multi-domain operations.
• Experience with simulation tools such as Systems Tool Kit (STK), GMAT, FreeFlyer, AFSIM, or custom-built propagators.
• Background in space domain infrastructure analysis, including constellation design, coverage modeling, or resilience assessments.

Responsibilities

• Contribute to analysis teams driving recommendations for research, development, and acquisition decisions for legacy and emerging customer satellite communication (SATCOM) architectures.
• Conduct high-fidelity simulations and analyses, including coverage analysis, killchain effects, beam allocation, network connectivity/graph theory, satellite resilience analysis, and annual costing of future systems using Python and simulation software.
• Generate technical reports, briefings, and strategic recommendations for stakeholders, including potential publication or presentation at industry conferences.
• Collaborate with software engineers, data scientists, and decision-makers to integrate models into broader analytical pipelines and decision-support systems.
• Build and maintain scalable simulation environments, ensuring models are computationally efficient and validated against empirical data.
• Inform software development for LMI’s proprietary simulation tool to achieve SDN analysis objectives.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 1-10 employees