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Archer · 1 week ago

Senior Aerodynamics Modeling and Optimization Engineer

San Jose, CA

Full-time

Onsite

Mid, Senior Level

4+ years exp

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. The Senior Aerodynamics Modeling and Optimization Engineer will perform aerodynamic simulations and develop models to predict aircraft performance, while also analyzing experimental data to enhance the accuracy of these models.

AerospaceAir TransportationElectric VehicleManufacturing

No H1B

Responsibilities

Perform low/mid/high fidelity aerodynamic simulations of Archer eVTOL aircraft

Develop linear/non-linear aerodynamic models to predict aircraft behavior and performance throughout the flight envelope

Analyze experimental data (either from flight test or wind tunnel) to identify sources of model errors, validate, and improve aerodynamic models of the vehicle

Develop efficient methods to feed flight test data back into aerodynamic simulation models of various fidelity and complexity

Contribute to the development of Archer aerodynamic software stack, improving methods and workflows

Coordinate with other cross-functional teams and pilots for flight simulator aerodynamic modeling updates and issue resolution

Qualification

Aerospace EngineeringAerodynamic modelingEVTOL aerodynamicsPython programmingGradient-based optimizationSurrogate modelingExperimental data processingSoftware developmentWork planningTechnical communicationTeam collaborationFast-paced environment

Required

BS / MS / PhD in Aerospace Engineering or a related field

4+ years of experience with BS, or 3+ years of experience with MS, or 1+ years of experience with PhD modeling rotorcraft, tiltrotor, eVTOL aerodynamics at full-vehicle level

Strong understanding of fundamentals of fixed-wing and rotorcraft aerodynamics, performance, stability & control

Experience in eVTOL and/or multicopter vehicle aerodynamics design and analysis, including 6 DoF vehicle trimming and trajectory optimization

Experience with gradient-based and gradient-free optimization techniques

Experience with surrogate modeling techniques (like Kriging methods) and statistical analysis

Experience with experimental data processing and reduction techniques

Proficiency in Python programming

Experience with software development, object-oriented, version control best practices, as well as Git, CICD, Conda

Excellent work planning and issue resolution skills

Strong technical, written, and verbal communication skills

Ability to work in groups and individually

Experience in a fast-paced design environment

Preferred

Experience with developing, training, and optimizing neural networks or other machine learning models in the context of aerodynamic modeling

Experience with wind tunnel and flight test campaigns planning, execution, and data processing, ideally matured on rotorcraft, tiltrotor, eVTOL program

Work experience with rotorcraft comprehensive analysis tools, such as RCAS or CAMRAD2

Work experience with NASA Overflow and Fun3D CFD software, including meshing

Experience utilizing high-performance computing (HPC) to parallelize workflows

Familiarity with conventional airplane Part 23/25 or rotorcraft Part 27/29 certification basis and test methods

Familiarity with ASTM standards for fixed wing and rotorcraft

Familiarity with Matlab/Simulink, and Fortran/C++ coding