Software Engineer (AI Data Engineering) Mid

D8loop; Hawthorne, Northern (CA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

SpaceX in Hawthorne, California is seeking a Software Engineer (AI Data Engineering) to design, implement, and operate data pipelines that process vehicle telemetry and test data.

You will build reliable, scalable Python services, leverage SQL with PostgreSQL, and apply ML libraries while using Airflow for orchestration and version control for robust deployment. Join a team shaping the data foundation for rocket development and space exploration.

Qualifications

• Proficient in Python; C# or similar is a plus.
• Develop reliable, scalable pipelines, data analysis libraries, and services on vehicle telemetry and test data.
• Experience with relational databases, specifically PostgreSQL.
• Experience with ML libraries such as PyTorch or TensorFlow.
• Airflow/orchestration: own software from design through test, deploy, and operation.
• Good understanding of version control, testing, CI, deployment, and monitoring.
• Experience with data exploration tools such as Grafana or Jupyter is helpful.

Responsibilities

• Design, implement, and operate data pipelines for vehicle telemetry and test data.
• Build scalable Python services and data analysis libraries.
• Apply ML techniques and manage ML libraries for data processing.

Skills

Python

Data pipelines

SQL

Machine learning

Airflow

Version control

Data exploration

Tools

PostgreSQL

PyTorch

Job description

SpaceX · boards.greenhouse.io · checked today

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. SOFTWARE ENGINEER (AI DATA ENGINEERING)

Skills, with evidence

• Python Programming experience in Python (C# or similar is a plus) must have
• Develop reliable, scalable pipelines, data analysis libraries, and services on vehicle telemetry and test data must have
• SQL Experience with relational databases (PostgreSQL)
• Machine learning Experience with machine learning libraries (PyTorch, TensorFlow, or similar) not practised here
• Airflow / orchestration Own software from design through test, deploy, and operation
• Good understanding of version control, testing, CI, deploy, and monitoring
• Experience with data exploration tools (Grafana, Jupyter, Metabase, or similar) not practised here