ML Engineer, Surrogate Modeling (Vehicle Engineering)

spacex · Hawthorne, CA

Posted
10 days ago
Last confirmed live
2 days ago

What this role involves

Develop AI surrogate models to accelerate engineering simulations for SpaceX launch vehicles and spacecraft. Collaborate with hardware and domain engineers to build production-grade systems. Requires Python and machine learning experience; aerospace background not necessary.

Skills this posting asks for

  • python
  • machine learning
  • surrogate modeling
  • neural operators
  • physics-informed machine learning
  • finite element analysis
  • computational fluid dynamics
  • thermal analysis
  • structural analysis
  • data pipelines
  • uncertainty quantification
  • active learning
  • inverse problems
  • geometry optimization
  • shape optimization
  • software development
  • production-grade ai models
  • state-of-the-art neural architectures

Requirements

  • 1 years of experience
  • Level: mid
  • Remote policy: onsite

From the employer’s posting

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling hum…

Read the full description on spacex’s careers page

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