Software Engineer II - Data Analysis Platform
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Job Description
About the Team:
Terrestrial Software is the central nervous system of Relativity Space, powering design, manufacturing, testing, and launch through a unified stack of enterprise applications, factory automation, and ground systems. Our goal is instant data accessibility and automated decision-making embedded in every workflow, removing friction and enabling fast, intelligent company-wide operations.
About the Role:
You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions. You'll join our 8-person Factory Platform team within the 40-person Terrestrial Software organization. Direct collaboration with GNC engineers, test engineers, and hardware development teams.
Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows.
The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs.
Stack
Backend: Python, Go, Postgres
Frontend: React, TypeScript
Infrastructure: Kubernetes, Terraform, DBT, Spark
Data: Iceberg, DuckDB, Redshift
About You:
- 3+ years shipping production software
- Strong React and modern frontend patterns
- Experience with data analysis tools or scientific computing
- CS/Engineering degree or equivalent depth
Nice to haves but not required:
- Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge.