ML Engineer, Surrogate Modeling (Vehicle Engineering)

SpaceX
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Communication","Problem-solving"]

Develop, train, and deploy production-grade AI surrogate models to accelerate engineering simulations (FEA/CFD/thermal/structural) for SpaceX vehicle engineering. Collaborate with hardware, simulation, and domain engineers to push surrogate modeling, physics-informed ML, and uncertainty quantification for aerospace applications, enabling faster analysis and design iteration for Falcon, Dragon, and Mars-program goals.

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FursaFursa
SpaceX
SpaceX
3 months ago

ML Engineer, Surrogate Modeling (Vehicle Engineering)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Develop, train, and deploy production-grade AI surrogate models to accelerate engineering simulations (FEA/CFD/thermal/structural) for SpaceX vehicle engineering. Collaborate with hardware, simulation, and domain engineers to push surrogate modeling, physics-informed ML, and uncertainty quantification for aerospace applications, enabling faster analysis and design iteration for Falcon, Dragon, and Mars-program goals.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop, train, evaluate, and deploy production-grade AI surrogate models that accelerate critical engineering simulation workflows
  • •Design and implement State-of-the-Art neural architectures and training strategies tailored to complex engineering problem domains
  • •Build scalable data pipelines to preprocess, manage, and utilize tens of thousands of high-fidelity simulation results
  • •Stay current with the latest research in neural operators, physics-informed ML, and surrogate modeling, implementing new techniques when needed
  • •Collaborate with peers on architecture, design, and code reviews

Pay and Benefits

Perks:MedicalVisionDental401kPaid LeaveParential LeaveDisability InsuranceLife Insurance

Key Requirements

  • •Bachelor’s degree in computer science, data science, engineering, math, physics, or a related technical discipline; OR 4+ years of professional software experience in lieu of a degree
  • •1+ years of software development experience in Python for machine learning, AI, or data science applications
  • •Strong proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • •Experience with surrogate modeling, uncertainty quantification, and related ML techniques in engineering workflows
  • •Ability to work extended hours and weekends as necessary
Experience:AerospaceSpaceXEngineering ml
Education:Bachelor's
Skills:CollaborationCommunicationProblem-solving
Languages:English
Tech Stack:PythonPyTorchTensorFlowJAXGPULinuxCFDFEAUncertainty quantificationSurrogate modelingNeural networks

Company Brief

SpaceX
Designs, manufactures, and launches advanced rockets and spacecraft for commercial and government customers, aiming to reduce space transportation costs and enable human life on Mars through reusable launch vehicles and integrated space systems.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: Hawthorne, United States
Founded: 2002
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