Senior Systems Engineer II - Digital Mission Modeling and Simulation

About the role

Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State.

At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team.

In this role, a systems engineer is responsible for utilizing commercial modeling and simulation tools to synthesize conceptual aerospace and defense systems into executable digital models to aid multi-disciplined design teams in quickly and accurately evaluating expected performance against design requirements.  This candidate will be expected to build expertise across commercial digital modeling and simulation tools, in particular leveraging Ansys STK (System Tool Kit) software which delivers a physics-based, mission-centric digital design and test environment for analyzing and designing systems across various domains like space, air, sea, and ground missions.

This candidate will be expected to continually expand and build their knowledge and use of this systems modeling and simulation environment while also incorporating external simulation artifacts from other multi-physics modeling and simulation tools commonly utilized by domain-centric design engineering groups such a CFD tools, mechanical CAD solutions, RF systems design and test tools, optics, and many other engineering discipline focus areas.

It will be critically important for this candidate to be able to communicate with colleagues across multi-disciplines and help incorporate their designs, analysis results, and model anticipated system behaviors through a fully integrated digital simulation approach.  Familiarity with Model Based Systems Engineering (MBSE) practices is highly desired.