Propulsion Test Data Processing Engineer

PAVE Space SA.; Villeneuve (VD); Teletrabalho; CHF 90 000 - 130 000; Tempo integral

Resumo da oferta

PAVE Space SA. in Villeneuve, VD is seeking a Crew Propulsion Data Engineer to turn rocket test data into actionable insights.

You will build processing pipelines for large sensor data and collaborate across propulsion, fluidics, structures, and systems teams to improve test outcomes. Ideal candidates have 2+ years of hands-on data work in aerospace or related fields, strong Python/MATLAB skills, and expertise in time-series analysis and sensor calibration.

Qualificações

• 2+ years hands-on experience processing engineering test data.
• Strong Python and/or MATLAB skills.
• Experience with time-series data, filtering, signal processing, and sensor calibration.
• Ability to work with real hardware test data, not just clean textbook datasets.
• Solid engineering fundamentals in thermodynamics, heat transfer, structural mechanics, or vibration/dynamics.
• Experience producing clear plots, reports, and technical conclusions.
• Strong attention to detail, traceability, and data quality.

Responsabilidades

• Build and maintain automated test data processing pipelines
• Clean, synchronize, filter, calibrate, and validate raw test data
• Process data from propulsion, fluidics, structural, thermal, and system-level tests
• Generate post-test plots, dashboards, reports, and engineering summaries
• Detect sensor issues, timing errors, drift, noise, saturation, and anomalies
• Compare test results against models, requirements, and acceptance criteria
• Support hot-fire, cold-flow, pressure, leak, vibration, thermal, and functional testing
• Work with test, propulsion, fluidics, structures, GNC, and systems engineers to interpret results
• Maintain traceable datasets, scripts, reports, and test records
• Help define instrumentation, sampling rates, data channels, and test-data requirements before campaigns

Conhecimentos

Test data processing

Python

MATLAB

Time-series data

Signal processing

Sensor calibration

Hardware test data

Thermodynamics

Heat transfer

Structural mechanics

Vibration

Data visualization

Attention to detail

Ferramentas

LabVIEW

National Instruments

Dewesoft

HBM

Beckhoff

Descrição da oferta de emprego

The position

Crew Propulsion

Location Villeneuve, CH

Type of contract Full-time

Your role

Do you want to turn rocket engine test data into the decisions that make flight hardware real?

PAVE Space is buildingLYOBA, 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.

That’s the job.

So, why now?

We 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.

You’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.

Your work will directly influence whether hardware is redesigned, accepted, retested, or fired again.

You will own

• Build and maintain automated test data processing pipelines
• Clean, synchronize, filter, calibrate, and validate raw test data
• Process data from propulsion, fluidics, structural, thermal, and system-level tests
• Generate post-test plots, dashboards, reports, and engineering summaries
• Detect sensor issues, timing errors, drift, noise, saturation, and anomalies
• Compare test results against models, requirements, and acceptance criteria
• Support hot-fire, cold-flow, pressure, leak, vibration, thermal, and functional testing
• Work with test, propulsion, fluidics, structures, GNC, and systems engineers to interpret results
• Maintain traceable datasets, scripts, reports, and test records
• Help define instrumentation, sampling rates, data channels, and test-data requirements before campaigns

What we are looking for

• 2+ years hands-on experience processing engineering test data
• Strong Python and/or MATLAB skills
• Experience with time-series data, filtering, signal processing, and sensor calibration
• Ability to work with real hardware test data, not just clean textbook datasets
• Solid engineering fundamentals in at least some of:
• thermodynamics
• heat transfer
• structural mechanics
• vibration or dynamics
• Experience producing clear plots, reports, and technical conclusions
• Strong attention to detail, traceability, and data quality

Nice to have

• Aerospace, automotive, propulsion, high-pressure, or high-reliability test experience
• Experience with DAQ systems such as LabVIEW, National Instruments, Dewesoft, HBM, Beckhoff, or similar
• Experience with propulsion sensors: pressure transducers, thermocouples, flow meters, load cells, strain gauges, accelerometers, valve position sensors
• Experience with hot-fire, cold-flow, TVAC, vibration, structural, or pressure testing
• SQL, databases, or structured test-data management
• Uncertainty analysis and measurement error propagation
• Familiarity with CFD, FEA, Modelica, EcosimPro, Simulink, or system simulation tools

You will fit if

• You like finding the story hidden inside messy test data
• You care about whether a sensor is lying before anyone makes a design decision from it
• You can write scripts that other engineers can actually reuse
• You understand that a plot is only useful if it leads to a decision
• You are comfortable moving between code, physics, instrumentation, and hardware
• You want your work to influence real tests, real engines, and real spacecraft

This 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.

What makes it worth it: you will help build the data backbone behind one of the most ambitious propulsion programs in Switzerland.