- Salary
- $110k – $140k/yr
- Location
- Santa Clara, CA
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Data Engineering
- Source
- Lever
Description
Key Responsibilities
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Performance Metrics Definition: Design, formalize, and implement quantitative safety and comfort metrics for AV algorithm modules (Perception, Prediction, Motion Planning, and Control). Translate high-level operational design domains (ODDs) and potential failure modes into automatable, objective criteria.
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Simulation Test Engineering: Build, execute, and maintain complex open-loop and closed-loop simulation test suites to stress-test software releases, evaluate edge cases, and benchmark module-level and system-level performance.
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Failure Triage & Root Cause Analysis: Analyze large-scale simulation outputs to distinguish genuine software regressions from simulation artifact anomalies. Localize root causes to specific modules and deliver actionable diagnostic reports to development teams.
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Test Framework Automation: Write production-grade Python scripts and extend core testing frameworks to automate test execution, data ingestion, and statistical reporting.
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CI/CD Pipeline Integration: Integrate automated regression suites into continuous integration pipelines (e.g., Jenkins) for seamless, multi-stage testing across daily builds.
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Data-Driven Quality Standards: Establish reproducible testing practices, enforcing strict artifact hygiene, dependency management, and quantitative validation over visual inspection.