Staff Advanced Concepts Optimization Engineer

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Countries
USA
Job Types
software & tech
Experience
expert
Organization Types
aerospace, transportation & mobility
Location
San Jose
Posted Date
Company
Archer Aviation
Salary
$130,000 - $240,000 annually

AI Summary

Job Description

Develop and deploy an advanced multi-disciplinary optimization (MDO) engine for aircraft concept development. Translate business goals into optimization objectives, create optimal vehicle designs, and communicate findings to stakeholders. Support systems engineers in transforming designs into reality.

Hard Requirements

  • Proficient in Python with NumPy, SciPy, OpenMDAO, JAX, CasADi, SMT, PyTorch, and / or other specialized scientific and optimization packages
  • 5+ years of relevant engineering experience (Senior Level)
  • 8+ years of relevant engineering experience, including a proven track record of architectural ownership and technical leadership (Staff Level)
  • 12+ years of relevant engineering experience, with a history of driving multi-year technical strategy and cross-organizational impact (Senior Staff Level)

Soft Requirements

  • General aircraft concept design
  • Development of Analysis of Advanced Air Mobility (AAM) network simulations
  • Design of eVTOL mission profiles
  • Understanding of eVTOL vehicle control algorithms
  • Physics-based and semi-empirical modeling of electric powertrains
  • Coupled aerodynamic and structural modeling and optimization
  • Development of physics-based mass and cost estimation relationships
  • Surrogate modeling via Neural Networks or Gaussian Processes
  • Modeling complex multi-physics systems of ODEs and DAEs
  • Gradient-based optimization, including Automatic Differentiation and Adjoint methods
  • Direct collocation and simultaneous sizing/trajectory optimization
  • Evolutionary algorithms and/or other non-gradient based methods
  • Uncertainty Quantification (UQ) and sensitivity analysis methods
  • Deploying parallelized simulation, analysis, or optimization workflows on cloud infrastructure
  • Collaborating with discipline experts to build accurate models
  • Communicating complex technical topics and driving consensus

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