Hiring.Camp

Position, Navigation, and Timing (PNT) / Navigation Warfare (NAVWAR) Analyst - Clearance Required

Lmi

·

Yesterday

Salary
$114k – $220k
Location
Colorado Springs, CO, US
Workplace
Onsite
Department
Marketing
Experience
4+ years
Education
PhD
Clearance
Required
Closing date
Today
Source
iCIMS

Description

Overview

We are seeking a highly skilled PNT / NAVWAR Analyst to support the Space Warfighting Analysis Center (SWAC) in developing future force designs for Position, Navigation, and Timing capabilities. This is a high-impact analytical leadership role at the intersection of space systems, national security, and long-range investment planning. The selected candidate will lead analysis that shapes how the United States postures its PNT architecture more than a decade into the future, directly informing investment decisions across space-related government and civilian agencies. This role requires balancing the needs of the Space Force as a service provider with the needs of the end user, ensuring that proposed architectures are both technically sound and relevant across the full range of PNT and NAVWAR mission needs. The candidate will take a limited amount of customer direction, define the underlying problem, and build the analytical plan and team needed to solve it.  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.

Responsibilities

  • Design and implement physics-based models for space infrastructure, incorporating orbital dynamics, electromagnetic propagation, sensor phenomenology, environmental effects, and multi-domain interactions.
  • Conduct high-fidelity simulations and analyses of space systems, evaluating performance under various scenarios (e.g., nominal operations, contested environments, debris fields).
  • Develop analytical frameworks to assess system vulnerabilities, trade-offs, and optimization opportunities, using tools like Monte Carlo methods, sensitivity analysis, and uncertainty quantification.
  • Translate simulation results into actionable recommendations for force design, including architecture enhancements, resource allocation, and capability gaps.
  • 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.
  • Perform data analysis on large datasets from simulations, telemetry, or open-source intelligence to derive insights and visualize outcomes.
  • Contribute to technical reports, briefings, and strategic recommendations for stakeholders, including potential publication or presentation at industry conferences.
  • Mentor junior team members and help shape best practices in space-domain physics modeling.

Qualifications

Required:

  • B.S. in Physics, Applied Physics, Aerospace Engineering, Operations Research, or a related field with a strong emphasis on theoretical modeling.
  • At least 4+ years of experience in space-related modeling, simulation, and analysis (industry, national lab, government, or advanced research settings).
  • Strong expertise in physics and theory relevant to space: orbital mechanics, astrodynamics, electromagnetics, radiation effects, satellite communications (ground and space-based), position, navigation, and timing (PNT) systems, and systems engineering principles.
  • Demonstrated ability to abstract theoretical concepts into practical models, simulations, and analytical frameworks that drive decision-making.
  • Experience with simulation tools such as STK (Systems Tool Kit), GMAT, FreeFlyer, AFSIM, or custom-built propagators.
  • Familiarity with force design concepts, mission analysis, or wargaming in space or multi-domain operations.
  • Strong problem-solving skills and the ability work independently with limited, if any, technical definition of analytical problems.
  • Excellent communication and teamwork abilities. 

Desired:

  • Advanced degree (M.S. or Ph.D.) in Physics, Applied Physics, Aerospace Engineering, Operations Research, or a related field with a strong emphasis on theoretical modeling.
  • Background in space domain infrastructure analysis, including constellation design, coverage modeling, or resilience assessments.
  • Experience with advanced techniques like physics-informed machine learning, agent-based modeling, or game theory for strategic recommendations.
  • Knowledge of high-performance computing (HPC), parallel processing, or cloud-based simulation environments (e.g., AWS, Azure). 

Security Clearance Requirements: Candidate must have a TS clearance and be eligible for an SCI.

 

Target salary range: $114,108 - $220,000

 

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.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job Locations

US-CO-Colorado Springs

Skills

AWSAzureMachine Learning

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