Propulsion Test Data Processing Engineer

h3The position /h3pCrew Propulsion /ppLocation Villeneuve, CH /ppType of contract Full-time /ph3Your role /h3pDo you want to turn rocket engine test data into the decisions that make flight hardware real? /ppPAVE Space is buildingbLYOBA /b, a heavy kick stage moving up to 4-ton payloads from LEO to high-energy orbits in under 24 hours. None of that works unless our propulsion, fluidics, structures, and spacecraft systems are tested, understood, and improved fast. That starts with clean, trusted, actionable test data. /ppThat’s the job. /ph3So, why now? /h3pWe are scaling up propulsion and spacecraft test campaigns, from component-level checks to full engine and system tests. Every test generates large volumes of sensor data: pressure, temperature, thrust, flow, vibration, strain, valve timing, DAQ signals, and more. /ppYou’ll build the processing, analysis, and reporting workflows that turn raw data into engineering insight on a timeline measured in hours or days, not weeks. /ppYour work will directly influence whether hardware is redesigned, accepted, retested, or fired again. /ph3You will own /h3ulliBuild and maintain automated test data processing pipelines /liliClean, synchronize, filter, calibrate, and validate raw test data /liliProcess data from propulsion, fluidics, structural, thermal, and system-level tests /liliGenerate post-test plots, dashboards, reports, and engineering summaries /liliDetect sensor issues, timing errors, drift, noise, saturation, and anomalies /liliCompare test results against models, requirements, and acceptance criteria /liliSupport hot-fire, cold-flow, pressure, leak, vibration, thermal, and functional testing /liliWork with test, propulsion, fluidics, structures, GNC, and systems engineers to interpret results /liliMaintain traceable datasets, scripts, reports, and test records /liliHelp define instrumentation, sampling rates, data channels, and test-data requirements before campaigns /li /ulh3What we are looking for /h3ulli2+ years hands-on experience processing engineering test data /liliStrong Python and/or MATLAB skills /liliExperience with time-series data, filtering, signal processing, and sensor calibration /liliAbility to work with real hardware test data, not just clean textbook datasets /liliSolid engineering fundamentals in at least some of: /lilithermodynamics /liliheat transfer /lilistructural mechanics /lilivibration or dynamics /liliExperience producing clear plots, reports, and technical conclusions /liliStrong attention to detail, traceability, and data quality /li /ulh3Nice to have /h3ulliAerospace, automotive, propulsion, high-pressure, or high-reliability test experience /liliExperience with DAQ systems such as LabVIEW, National Instruments, Dewesoft, HBM, Beckhoff, or similar /liliExperience with propulsion sensors: pressure transducers, thermocouples, flow meters, load cells, strain gauges, accelerometers, valve position sensors /liliExperience with hot-fire, cold-flow, TVAC, vibration, structural, or pressure testing /liliSQL, databases, or structured test-data management /liliUncertainty analysis and measurement error propagation /liliFamiliarity with CFD, FEA, Modelica, EcosimPro, Simulink, or system simulation tools /li /ulh3You will fit if /h3ulliYou like finding the story hidden inside messy test data /liliYou care about whether a sensor is lying before anyone makes a design decision from it /liliYou can write scripts that other engineers can actually reuse /liliYou understand that a plot is only useful if it leads to a decision /liliYou are comfortable moving between code, physics, instrumentation, and hardware /liliYou want your work to influence real tests, real engines, and real spacecraft /li /ulpThis is hard, early, and fully on-site in Villeneuve, VD, close to our test site in Chavalon, because we have a strong on-site hardware culture. Some tests will not behave as expected. Some data will be noisy, incomplete, or surprising. That is exactly why this role matters. /ppWhat makes it worth it: you will help build the data backbone behind one of the most ambitious propulsion programs in Switzerland. /p #J-18808-Ljbffr