Systems Engineer - Safety Methodologies

Waabi, founded by AI visionary Raquel Urtasun, is an autonomous vehicle company developing self-driving trucks and robotaxis. This systems engineer role focuses on creating safety methodologies and validation frameworks to support driverless autonomy readiness decisions. The role involves defining safety requirements, building evaluation infrastructure, tracking quantitative metrics, and leveraging simulation and generative AI to verify safe operation.

• Scale safety framework methods by defining requirements for automated assessment workflows.
• Develop and monitor quantitative metrics to evaluate system performance against safety targets.
• Optimize test coverage in Waabi's high-fidelity simulator for safety-critical scenarios.
• Define and iterate on human performance benchmarks for comparative safety assessments.
• Identify safety gaps and ensure traceability between requirements, validation artifacts, and safety case claims.
• Maintain structured documentation of safety artifacts and readiness decisions.

• Undergraduate degree required; Masters or PhD in an engineering discipline preferred.
• 3+ years of automotive, robotics, or related industry experience.
• Experience contributing to the development of a safety case for autonomous vehicles.
• Experience using simulation and real-world testing to make readiness decisions.