Senior/Staff Systems Engineer, Fail Operational

Own and evolve the core Fail Operational metric framework for quantifying, severity-ranking, and systematically driving down autonomous-mission stoppage and degradation events, including category definitions, classification methodology, and triage criteria used to identify and assess mission-critical events across all driving behavior domains

Lead Fail Operational metric target-setting for new and existing milestones, authoring supporting documentation and consolidating inputs across metric categories to assess overall readiness for milestone closure

Drive the evolution of the Fail Operational metric architecture, ensuring alignment with current priorities and operational needs

Develop process for reviewing observed events, mapping to seen failure modes or confirming as new, and integrating those observations into estimations to drive business priorities. 

Partner cross-functionally with Software, Hardware, and Operations teams to escalate issues, identify mitigations, evaluate emerging risks from testing pipelines, and support delivery of features that improve performance metrics

Communicate complex metric concepts, data analyses, and actionable insights to diverse stakeholders and executives, translating technical findings into clear recommendations that inform decision-making

B.S. or higher degree in Systems Engineering, Computer Science, Electrical Engineering, Applied Mathematics, or a related field

5+ years of relevant professional experience in systems engineering, data analysis, performance tracking, risk quantification, or fault management for complex and safety-critical systems

Demonstrated experience defining, implementing, and managing quantitative metrics and data-driven frameworks, with proficiency in probability, statistics, and Python for large-scale data analysis

Strong understanding of fault detection, categorization, and severity assessment methodologies, with experience developing technical frameworks, taxonomies, or classification systems

Excellent technical communication and documentation abilities, with a collaborative approach to influencing, driving consensus, and leading cross-functional initiatives

M.S. or Ph.D. in Engineering, Computer Science, or a related field

Systems engineering or system safety experience with autonomous driving, robotics, or fleet-scale vehicle operations

Experience with fail-operational design, fault tolerance, or fault management in safety-critical domains, including familiarity with hazard analysis methods such as STPA, FTA, FMEA, or FHA

Metrics ownership experience and knowledge of industry safety standards such as ISO 26262, ISO 21448, MIL-STD-882

Experience building processes from conception to implementation at scale