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…
Builds AI-powered automation tools and data pipelines for SpaceX engineers working on launch vehicles and spacecraft. Day-to-day work includes creating agentic AI systems, MCP servers, and internal dashboards using Python, telemetry data, and modern web/backend stacks.
Designs and optimizes large-scale AI model serving systems for SpaceX's internal inference platform, owning distributed infrastructure, GPU kernel optimizations, and high-throughput serving. Works with Rust/C++, Python/Go, Kubernetes, and inference engines such as vLLM and TensorRT-LLM.
The Sr. Data Engineer defines and tracks KPIs for Starlink's Ground Network cost assets, analyzes infrastructure data to cut spending, builds cost forecasts and reports, and architects backend services and APIs. Core technologies: SQL, with preferred experience in C#/C++/Angular, Kubernetes, PowerBI/Grafana/Metabase, and FastAPI/Django.
Builds AI-powered automation and data tools for SpaceX launch vehicles and spacecraft. Partners with engineering teams to automate repetitive work using Python, agentic AI systems, MCP servers, RAG search, and telemetry data pipelines, then productionizes and maintains the tools.
Senior Software Engineer building a petabyte-scale data platform for Starlink, developing end-to-end data pipelines and scalable infrastructure using Scala, Java, Python, Go, Kafka, Spark, and cloud databases.
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