LMI is seeking a Space Analytics Engineer to support the development and evaluation of future space architectures, with a focus on sustained space maneuver and resilient orbital operations. This role is centered on defining candidate system architectures and designing trade studies that inform early-phase force design and capability development decisions.
In this role, you will operate in a highly ambiguous, concept-driven environment, translating broad mission challenges into structured analytical approaches. Your work will directly shape how emerging space capabilities are evaluated and prioritized for future investment.
This position is ideal for an analytical thinker who excels at framing complex problems, identifying key variables, and designing decision-relevant analysis—not just executing models.
This is an on-site role in Colorado Springs, CO.
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.
Required:
Nice to have:
Security Clearance Requirements:
Candidate must possess an active TS/SCI or TS with SCI eligibility clearance and a willingness to obtain a CI Poly.
Target salary range: $92,000 - $158,000
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.
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