דרושים » ייצור ותעשייה » מהנדס /ת מכונות לחברת הייטק ביטחונית באיזור מודיעין

we are looking for a Aerodynamics Engineer.
What you'll own:
Own aerodynamic design and analysis of vehicle-level configurations, trading lift-system efficiency directly against acoustic source strength across all phases of flight.
Build and run high-fidelity CFD campaigns - steady RANS for performance maps, unsteady and scale-resolving simulations where acoustic source prediction demands it - with documented mesh and turbulence-model sensitivity studies.
Couple aerodynamic predictions to acoustic propagation models, working with the Acoustics team to trace far-field noise back to specific unsteady flow mechanisms on the vehicle.
Plan and execute wind tunnel test campaigns end to end: model definition, instrumentation plans, test matrices, on-site execution, and post-test correlation against CFD predictions.
Develop and maintain the vehicle aerodynamic database - polars, control derivatives, and interactional effects - feeding flight dynamics, performance, and loads analyses.
Correlate predictions against flight test data, drive down model uncertainty, and publish updated aero models with quantified validation status.
Present design trades and analysis results at internal design reviews, defending recommendations with data when performance and noise pull in opposite directions.
Define aerodynamic requirements and acceptance criteria for vehicle hardware, and review geometry releases for compliance with the validated aero lines.

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What you'll own:
Develop and validate source-noise prediction models for our novel lift and propulsion architecture, from first-principles aeroacoustics through empirically anchored corrections.
Design and execute acoustic measurement campaigns in anechoic facilities and at outdoor ranges, owning microphone array design, calibration chains, and data acquisition end to end.
Reduce rig and flight-test acoustic data into validated spectra, directivity maps, and component-level source rankings that directly drive vehicle design decisions.
Quantify community-noise exposure using EPNL, SEL, dBA, and tonality-corrected metrics, and translate the results into hard, testable requirements for design teams.
Build psychoacoustic models - loudness, sharpness, tonality, fluctuation strength - and run jury listening studies that connect physical metrics to human annoyance.
Run aeroacoustic simulations coupling CFD to acoustic analogy solvers (FW-H or equivalent), and reconcile predictions against measured data every design cycle.
Define and defend the vehicle noise budget at design reviews, allocating margins across subsystems and flagging acoustic risk before hardware is built.
Author measurement procedures, test reports, and model validation documents rigorous enough to anchor future certification arguments.