AI Data Engineer: Build Scalable Flight Data Pipelines

Spacex; Hawthorne, Northern (CA, KY); Hybrid; USD 125,000 - 195,000; Full time

Benefits offered by this job

Stock options and long-term incentives

Comprehensive medical, vision, dental

401(k) retirement plan

Paid vacation and holidays

Parental leave and other perks

Job summary

SpaceX is seeking a Software Engineer (AI Data Engineering) to turn flight, test, and factory data into actionable decisions. You will own data pipelines, automation tools, and a user-facing analysis app used by engineers across domains.

Ideal candidates have Python, ML libraries, data tooling, and API/web app experience. SpaceX emphasizes ownership of production problems and collaboration with domain experts on critical flight-related workflows.

Qualifications

• Bachelor's degree or 2+ years of software experience in lieu of a degree
• 1+ years of software, data engineering, or data science experience

Responsibilities

• Develop reliable, scalable pipelines and data analysis libraries on vehicle telemetry and test data
• Build and improve user-facing analysis applications
• Prototype quickly and productionize successful solutions
• Own software from design through test, deployment, and operation
• Collaborate with avionics, GNC, propulsion, structures, and launch operations

Skills

Python

Data analysis

Machine learning

Data exploration

APIs / web apps

Computer vision

Version control

Front-end basics

Communication

Education

Bachelor's degree in CS / Math / Engineering or related

Tools

pandas

NumPy

SciPy

PyTorch

TensorFlow

Grafana

Jupyter

Metabase

PostgreSQL

OpenCV

Ultralytics

React

Angular

Git

Job description

SpaceX is seeking a Software Engineer (AI Data Engineering) to turn flight, test, and factory data into actionable decisions. You will own data pipelines, automation tools, and a user-facing analysis app used by engineers across domains.

Ideal candidates have Python, ML libraries, data tooling, and API/web app experience. SpaceX emphasizes ownership of production problems and collaboration with domain experts on critical flight-related workflows.