Senior Manager - AV Evaluation

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About the role

Job Description Work Arrangement: This role is categorized as Remote/ hybrid . Remote: This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Sunnyvale  ], you are expected to report to that location three times per week, at minimum. About the Organization     The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics,   evaluation infrastructure,   automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.      We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework.   By joining this team, you will help shape GM’s core evaluation platforms and infrastructure, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.       We are looking for a Senior Manager to lead a critical autonomy evaluation area spanning platform, methodology, and organizational execution. This leader will combine deep technical judgment, strong people leadership, strategic planning, and cross-functional influence to define how evaluation supports product, safety, and release decisions across GM’s autonomous driving programs.   What   You’ll   Do • Own the strategy, roadmap, and operating plan for a distinct Autonomy Evaluation business area   spanning   methodology , platforms, and infrastructure   ensuring alignment with autonomy product goals, safety priorities, and release needs.   • Define and evolve the end-to-end evaluation strategy for autonomy performance, including scenario coverage, behavioral quality measurement, trend detection, risk assessment, and release-gating readiness.   • Drive cross-functional alignment with Autonomy, Simulation, Systems, and Safety organizations to translate ambiguous validation needs into clear priorities, roadmaps, and execution plans.   • Oversee evaluation approaches for ML components across   perception , prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams.   • Guide the team in developing new statistical and machine learning methods to quantify performance and   identify   behavior patterns across scenes and operational domains.   • Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop review.   • Maintain a high technical bar through   strong system   design, code review, testing, observability, and engineering best   practices .   • Drive the development of scalable evaluation infrastructure, including data pipelines, workflow orchestration, developer tooling, and service interfaces that improve reliability and iteration speed.   • Translate system-level results   and platform health signals   into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes.   Leadership Responsibilities   • Build and lead a high-performing, inclusive engineering organization through hiring, manager development, coaching, and feedback.   • Lead through managers and senior technical leaders, creating strong accountability, healthy operating rhythms, and clear ownership across teams.   • Create clarity across priorities, roadmaps, dependencies, and staffing

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