
Software Engineer II - Data Analysis Platform
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Job Description
About the Team:
The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.
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.
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