обновлено 8 дней назад
Staff Advanced Concepts Optimization Engineer (Aerospace)
160 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Advanced Concepts Optimization Engineer (Aerospace): Developing multidisciplinary optimization engines, physics-based simulations, and high-performance computing workflows for optimal electric aircraft configurations with an accent on eVTOL vehicle design, numerical methods, and uncertainty assessment. Focus on building coupled aerospace models, optimizing vehicle sizing and trajectories, deploying large-scale cloud simulations, and translating business goals into engineering requirements.
Location: San Jose, California, United States
Base salary: $160,000–$200,000 for the Staff level. Senior and Senior Staff ranges are $130,000–$160,000 and $200,000–$240,000 respectively.
Company
is an aerospace company developing, manufacturing, and operating an all-electric vertical takeoff and landing aircraft for sustainable air mobility.
What you will do
- Develop the multidisciplinary optimization engine, workflows, and high-performance computing resources for aircraft concept development.
- Translate business goals and use cases into optimization objectives and constraints.
- Deploy optimization workflows to create optimal electric aircraft designs.
- Communicate technical findings to stakeholders and support executive decision-making.
- Work with systems engineers to transform designs into high-level requirements and support implementation across the engineering organization.
Requirements
- 8+ years of relevant engineering experience for the Staff level, with architectural ownership and technical leadership experience.
- Experience with aircraft concept design, eVTOL mission profiles, vehicle performance, or advanced air mobility simulations.
- Experience with physics-based modeling, multidisciplinary optimization, numerical methods, uncertainty quantification, or sensitivity analysis.
- Proficiency in Python and scientific or optimization packages such as NumPy, SciPy, OpenMDAO, JAX, CasADi, SMT, or PyTorch.
- Ability to deploy parallelized simulation and optimization workflows on cloud infrastructure and manage large datasets.
- is unable to provide work visa sponsorship for this position.
Nice to have
- Experience with CFD, FEA, reduced-order modeling, surrogate modeling, neural networks, or Gaussian Processes.
- Experience with automatic differentiation, adjoint methods, direct collocation, trajectory optimization, or evolutionary algorithms.
- Experience modeling electric powertrains, aircraft control algorithms, aerospace cost estimation relationships, or coupled multiphysics systems.
Culture & Benefits
- Work in a data-driven and rigorous environment focused on sustainable electric flight.
- Collaborate with discipline experts and technical and non-technical stakeholders.
- Additional compensation may include bonus and equity.
- Reasonable accommodations are available for applicants with disabilities or sincerely held religious beliefs.
- Inclusive workplace committed to diversity and equal opportunity.
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