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Senior to Senior Staff Modeling, Simulation, and Optimization Engineer

archer • United State
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AI Summary

Join the Concept Development team to architect the future of electric flight through multi-disciplinary physics simulations. You will develop MDO engines and cloud computing infrastructure to create optimal vehicle configurations for air taxis. Requirements include extensive experience in aerospace engineering, numerical methods, and proficiency in Python scientific packages.

Key Highlights
Develop and deploy Archer's multi-disciplinary optimization (MDO) engine and HPC resources.
Translate business goals into optimization objectives to create optimal vehicle designs.
Collaborate with systems engineers to transform designs into high-level requirements.

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Key Responsibilities
Develop Archer’s multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development.
Translate business goals and use cases into optimization objectives and constraints.
Deploy the MDO engine to create optimal vehicle designs for use cases.
Communicate findings to stakeholders and support executive decision making.
Support systems engineers to transform their designs into high level requirements.
Technical Skills Required
Python Multi-disciplinary Optimization (MDO) Numerical Methods

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Benefits & Perks
Base salary range $130,000 - $240,000
Bonus
Equity
Visa sponsorship

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Nice to Have
General aircraft concept design
Development of Advanced Air Mobility (AAM) network simulations
Design of eVTOL mission profiles and performance assessment
Understanding of eVTOL vehicle control algorithms
Physics-based and semi-empirical modeling of electric powertrains
Coupled aerodynamic and structural modeling (CFD, FEA)
Development of physics-based mass and cost estimation relationships (CERs)
Surrogate modeling via Neural Networks or Gaussian Processes
Modeling complex multi-physics systems of ODEs and DAEs
Gradient-based optimization, Automatic Differentiation, and Adjoint methods
Direct collocation and simultaneous sizing/trajectory optimization
Evolutionary algorithms for discrete-variable optimization
Uncertainty Quantification (UQ) and sensitivity analysis methods
Deploying parallelized simulation workflows on cloud infrastructure

Job Description

Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors.
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Job Overview
Posted Date Sep 30, 2026
Employment Type Full-time
Experience Level Mid-Senior level
Location United State
Category Programming
Company archer
Mentioned Skills
python artificial intelligence ai simulation neural networks cloud pytorch numpy scipy

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