Astrodynamics Engineer

About UsPerceptive Space is on a mission to make humanity resilient to space weather. Our space weather prediction systems leverage the latest advances in space physics and ML/AI to provide accurate and timely actionable insights about the space environment to support today's scale, automation, and space-based operations' autonomous future.Read moreAbout the RoleYou will build the foundational technology required for satellites, launch vehicles, and human missions to operate safely and efficiently in the harsh space environment. You will lead efforts to advance spaceflight trajectory modeling and flight operations, ensuring the success and safety of satellite missions under diverse space environment conditions.ResponsibilitiesDevelop and refine modeling techniques for analyzing and simulating satellite dynamics, ensuring accuracy and robustness across diverse mission profiles.Work on applied research and develop algorithms pertaining to state estimation, orbit analysis, maneuver detection, error propagation, and collision probability analysis.Conduct data analysis from complex space and ground systems, apply knowledge of statistics, software scripting, modeling and simulation, and advanced mathematics to recognize patterns, identify opportunities, and propose solutions.Demonstrate a high level of autonomy and critical thinking to take full ownership of your work.QualificationsAdvanced degree in aerospace engineering or a related STEM fieldStrong understanding of orbital mechanics, state estimation, statistical orbit determination, and optimization2+ years of experience in flight dynamics or astrodynamics rolesProficiency in Python and object-oriented programmingExperience with astrodynamics tool development, both custom-developed and commercially developed off-the-shelf systems (STK, GMAT, OreKit)Experience with satellite state estimation and filtering techniquesExperience with software development life cycle, GIT, and agile methodologiesStrong analytical and problem-solving skillsAbility to work in a multidisciplinary, loosely structured, and fast-paced startup environmentPreferred Skills and ExperiencePhD in aerospace engineering or other quantitative fieldsExperience with cloud computing technologiesFamiliarity with machine learning conceptsExperience working with optical and radar dataKnowledge of space weather and its impact on spacecraft.Additional RequirementsThe role is fully remote, BUTyou are expected to be available during Eastern Time working hours.Opportunity to work at the frontier of AI and aerospace, building first-of-its-kind products.BenefitsCompetitive stock option compensationTop-tier health and benefits coverageFully remote teamOpportunities to lead technical efforts as the team scales. #J-18808-Ljbffr