Software Verification & Validation Engineer (Autonomous Vehicles)

Location: Santa Clara, CA; hybrid workplace

Company

Develops autonomous vehicle software requiring simulation-based verification and validation.

What you will do

• Define and implement quantitative safety and comfort metrics for perception, prediction, motion planning, and control modules.
• Translate operational design domains and failure modes into objective, automatable criteria.
• Build and maintain open-loop and closed-loop simulation test suites for release testing, edge cases, and performance benchmarking.
• Analyze simulation outputs, distinguish software regressions from simulation artifacts, and identify root causes.
• Develop Python automation for test execution, data ingestion, and statistical reporting.
• Integrate regression suites into Jenkins and other CI/CD pipelines while enforcing reproducible testing and artifact hygiene.

Requirements

• Deep knowledge of autonomous vehicle stack architecture, including perception, prediction, motion planning, and control.
• 2+ years of experience authoring scenarios and executing tests in Software-in-the-Loop or Hardware-in-the-Loop simulation platforms.
• Experience defining and evaluating kinematic and spatial metrics such as TTC, headway, jerk, acceleration profiles, and lateral error.
• Strong Python skills for data processing, test automation, and test framework development.
• Experience with automated build and test pipelines such as Jenkins or GitHub Actions, hirify.global test-metric visualization tools.
• Bachelor’s or Master’s degree in computer science, robotics, engineering, mathematics, statistics, or a related technical discipline.

Nice to have

• Experience with OpenDRIVE, Lanelet2, OSM, OpenSCENARIO, or spatial and geometry data pipelines.
• Knowledge of computational geometry, including polyline sampling, curvature, offsets, and polygon intersections.
• Experience with simulators such as CARLA.
• Proficiency with SQL and relational databases for bulk test-result queries.
• Exposure to crash databases, Euro NCAP, ISO 26262, or ISO 21448 SOTIF.

Culture & Benefits

• Hybrid work arrangement in Santa Clara, California.
• Focus on reproducible, quantitative software quality standards rather than visual inspection.