Systems Engineer

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter . Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.

The Space and Intelligence Division provides professional services to the US Space Force, Combatant Commands, Intelligence Community, and NASA. Our work includes enterprise architectural assessments, systems engineering and integration, test, planning and execution, cost estimating and analysis, acquisition support, and cybersecurity. We are trusted partners developing approaches and concepts to meet emerging high priority needs, assessing cutting-edge technologies, and supporting capabilities for our National Defense. Come join the fastest growing Division at Systems Planning and Analysis, Inc.

The Strategic Technology Analysis Group, part of SPA's Space and Intelligence Division, offers sophisticated capabilities (people, process & tools) to resolve unique problems in space, cyber, and special operations in support to military services, Secretary of Defense offices (OSD) and theater warfighters. Our portfolio includes the Assistant Secretary of Air Force for Space Acquisition & Integration (SAF/SQ), Joint Warfare Analysis Center (JWAC), Space Security and Defense Program (SSDP), National Space Defense Center (NSDC), Space Warfighting Analysis Center (SWAC), Strategic Capabilities Office (SCO), US Space Command (USSPACECOM) and US Space Force (USSF). Come be a part of a high-speed low-drag organization providing unique and tailored solutions for our National Defense!

We are seeking a mid-career engineer for modeling and simulation efforts for advanced laser / microwave / optical systems. The ideal candidate has a strong background in engineering, physics, or applied mathematics, and extensive experience building, validating, and applying models to guide system design and performance optimization or risk characterization.

• Develop and maintain high-fidelity models of laser, microwave, and/or optical components and systems, including propagation, nonlinear effects, and noise sources.
• Perform system-level simulations to predict performance, sensitivity, and robustness under realistic operating conditions.
• Analyze experimental and test data to calibrate, validate, and refine models.
• Translate complex modeling results into actionable recommendations for multidisciplinary teams.
• Develop simulation workflows, tools, and automation to support rapid design trades and "what-if" studies.
• Document modeling assumptions, methods, and results clearly for internal stakeholders and customers.
• Stay current on state-of-the-art modeling techniques and relevant commercial/academic tools.

About the Must Haves

• US Citizenship with active TS clearance at time of application
• 5-10+ years of experience in modeling and simulation of at least one of the following:
  • Laser systems (e.g., solid-state, fiber, semiconductor, high power, or pulsed lasers)
  • Microwave/RF systems (e.g., radar, communication links, phased arrays, RF front ends)
  • Radio communication systems
  • Optical systems (e.g., imaging systems, fiber optics, free-space optics, photonic devices)
• Proficiency with scientific computing tools, such as (NumPy/SciPy), or similar
• Demonstrated ability to build, debug, and validate models against analytical theory and experimental data
• Ability to report to designated work location in Albuquerque, up to full time, based on the needs of the customer

About the Desired

• Bachelor's degree in Electrical Engineering, Physics, Engineering, Applied Mathematics, or related field
• Strong analytical and problem-solving skills, with the ability to break down complex physical systems into tractable models
• Excellent written and verbal communication skills for technical and non-technical audiences