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K2 Space is building the largest and highest-power satellites ever flown, backed by over $1 billion in funding from top-tier investors including Altimeter Capital, ICONIQ, Kleiner Perkins, and others. The company has secured over $1 billion in signed contracts across commercial and US government customers and is mass-producing advanced satellite platforms for missions from LEO to deep space. With multiple launches planned for 2027 and ambitions to scale to 100 satellites annually, K2 is at the forefront of a new era of spacecraft engineering enabled by heavy-lift launch vehicles.
As a Senior Dynamics Engineer, you will be a core member of the dynamics team responsible for deriving loads and environments for K2 satellites across ground transportation, launch, deployment, and on-orbit operation. You will develop software tools and establish simulation workflows supporting frequency and time-domain analyses. Within your first months, you will design development testing to correlate physics models with measured data and own qualification and acceptance testing at component and vehicle levels.
Key responsibilities include: driving dynamic testing definition and execution across component, subsystem, and vehicle levels; developing time- and frequency-domain physics models using finite element analysis (Nastran) and Python; creating software tools for data processing and simulation frameworks; performing coupled loads analysis (CLA) with superelement/Craig-Bampton model builds; leading jitter and pointing performance analysis with Monte Carlo dispersion modeling; directing vibroacoustic analysis and acoustic testing; and establishing vehicle-level modal test and analysis methodologies. You will collaborate cross-functionally with design engineers, analysts, and external customers while providing data-driven engineering guidance and high-quality technical documentation.
Required: Bachelor's degree in mechanical engineering, aerospace engineering, physics, or mathematics, plus 5+ years of dynamics experience in industry or academia. Preferred qualifications include a Master's degree, deep expertise in low/high frequency dynamics (vibration, acoustics, shock, modal testing), extensive testing and measurement experience, proficiency with FEA software (FEMAP, Nastran), strong Python development skills, knowledge of digital signal processing and structural mechanics, and experience with CLA and advanced model reduction techniques.
