The opportunity
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 human life on Mars.
What you'll do
Develop, train, evaluate, and deploy production-grade AI surrogate models: that accelerate critical engineering simulation workflows
Design and implement State-of-the-Art (SOTA) 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
Deep dive into engineering problems to identify where AI can deliver the: highest leverage and most reliable solutions
What they're looking for
- Develop and apply techniques for uncertainty quantification, active learning,: and inverse problems (e.g., geometry and shape optimization)
- Ensure all AI systems are rigorously validated and vetted for accuracy,: robustness, and reliability in engineering use
- Bachelor’s degree in computer science, data science, engineering, math,: physics, or a related technical discipline; OR 4+ years of professional experience building software in lieu of a degree
- + years of software development experience in Python for machine learning, AI, or data science applications