AI TEVV Engineer

AI TEVV Engineer

(Test, Evaluation, Verification & Validation)

About Ursa Space Systems

Ursa Space Systems is building an AI-native geospatial insights platform that guides the acquisition, analysis, and integration of satellite and geospatial data into customer workflows, giving decision makers an edge. Leveraging hundreds of data sources, AI agents, and proprietary analytics, Ursa Space provides fast, actionable information to a range of industries, including finance, energy, and defense. Our customers receive contextual, comprehensive reporting that goes beyond surface-level observations.

Job Summary

Ursa Space is looking for an AI TEVV Engineer to define how we prove our AI-native geospatial platform works and to whom. This is an evaluation-science role at its core, not a test-automation role. The central skill is measurement under uncertainty: where classical QA asks "does this function return the correct output" (a deterministic pass/fail question), AI evaluation asks "what is the error rate, on what distribution of inputs, under what operating conditions, and is that rate acceptable for this mission" (a measurement question with confidence intervals). That work is closer to experimental design and psychometrics than to writing test suites. You will own the strategy, methodology, and evidence that let us and our customers' risk officers trust the platform's outputs and demonstrate where, and how well, they hold.

This position reports to the Director of System Requirements, with a functional reporting line and charter that preserve evaluation independence from the teams whose outputs are under test. This position is fully remote and exempt.

Responsibilities

• Design, develop, and plan the TEVV strategy across the platform's algorithms, AI/ML models, agentic workflows, data pipelines, and analytic products, aligned to the NIST AI RMF Measure function
• Design statistically defensible evaluations: error metrics and acce