As a technical leader on our growing dynamics team, you will own the successful derivation of loads and environments for K2 Space satellites during ground transportation, launch, deployment, and on-orbit operation. You will build software tools and establish simulation workflows to support a variety of analyses in frequency and time domains. Within your first couple of months, you will devise development testing to correlate physics models with measured data. You will also own qualification and acceptance testing of satellite hardware at the component and vehicle level. As we continue to refine our designs and scale for the future, you will set technical direction, mentor junior engineers, and deliver well-derived requirements and engineering insights to make reliable and mass-producible spacecraft
Drive the definition and execution of dynamic testing at the component, subsystem, vehicle, and stack level, including test planning and coordination, test analysis, and model correlation
Lead innovation on cross-disciplinary analysis and test methodologies
Own and evolve spacecraft dynamics approaches to optimize for the company’s business
Develop time- and frequency-domain physics models using finite element analysis (e.g., Nastran) and custom-built software (e.g., Python), and set technical direction for shared analysis tooling, including version control and continuous-integration practices for analysis and test-data pipelines
Create software tools to support data processing and simulation frameworks
Collaborate with design engineers, analysts, and external customers to develop payload products
Lead code reviews for simulation and analysis tools
Utilize analysis and test to provide data-driven engineering guidance and decisions
Write high quality technical documentation of tests and simulations
Mentor and provide technical guidance to junior and mid-level dynamics engineers, contributing to the growth of the analysis team
Derive loads, environments, and other dynamics-driven design and test criteria for payload and hardware teams, including vibration, shock, and jitter maximum predicted environments and response-limit derivation (e.g., NASA 7004C), and develop new response-limiting methodologies as needed
Own coupled loads analysis (CLA) for vehicle programs, including bus-and-payload superelement/Craig-Bampton model builds for ascent and on-orbit dynamic environments, through test-level definition
Lead jitter and pointing performance analysis, including Monte Carlo dispersion modeling and dynamic coupling with GNC control loops
Direct vibroacoustic analysis, including patch-method framework development, and lead acoustic testing of the vehicle
Drive definition of vehicle- and stack-level modal test and analysis methodologies, including ground and flight test correlation