Staff Advanced Concepts Optimization Engineer
Core
Architecting multi-disciplinary physics simulations, advanced optimization methods, and large-scale cloud computing infrastructure to design optimal electric aircraft configurations.
Role type
Staff Advanced Concepts Optimization Engineer (Aerospace)
Builds
Multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development
Domain
Aerospace / Electric Vertical Takeoff and Landing (eVTOL) / Advanced Air Mobility
Deliverable
production ML models | product features
Required skills
Multi-disciplinary optimization (MDO), gradient-based optimization (Automatic Differentiation, Adjoint methods), evolutionary algorithms, Uncertainty Quantification (UQ), surrogate modeling (Neural Networks, Gaussian Processes), coupled aerodynamic and structural modeling, high-fidelity simulation (CFD, FEA), numerical methods for ODEs/DAEs, cloud infrastructure deployment, Python (NumPy, SciPy, OpenMDAO, JAX, CasADi, PyTorch)
Preferred skills
General aircraft concept design, AAM network simulations, eVTOL mission profile design, vehicle control algorithms, physics-based powertrain modeling, mass and cost estimation (CERs)
Technologies
OpenMDAO, JAX, CasADi, PyTorch, NumPy, SciPy, CFD, FEA
Responsibilities
Develop Archer's multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources; Translate business goals into optimization objectives and constraints; Deploy the MDO engine to create optimal vehicle designs; Support systems engineers in transforming designs into high-level requirements
Seniority
Staff, architectural ownership and technical leadership