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The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.

Lead automotive partnerships, negotiate agreements, and execute strategy aligned with company goals while collaborating across engineering, product, and finance teams.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

Lead development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.

Develops and executes autonomous vehicle test plans on closed courses and public roads. Responsibilities include preparing test vehicles, coordinating engineers and resources, evaluating vehicle performance, operating actor vehicles, generating test reports, maintaining vehicle systems and records, and supporting safe test operations. Requires experience with vehicle dynamics, autonomous vehicle hardware and software, systems engineering workflows, requirements verification and validation, Linux, and Python or MATLAB.

Develop and execute autonomous vehicle test plans on closed courses and public roads. Coordinate engineers, drivers, vehicles, schedules, and testing resources; prepare vehicles; evaluate performance; produce detailed reports; and support inspections, maintenance, and record-keeping. The role requires vehicle dynamics and autonomous vehicle systems expertise, data analysis skills, systems engineering and verification experience, strong communication, flexible hours, and travel availability.

Execute firmware and electrical verification and validation for autonomous vehicles, including requirements traceability, DVP&R testing, HIL benches, regression automation, environmental and compliance testing, root-cause analysis, and certification management. Collaborate with engineering, quality, systems, OEMs, suppliers, and laboratories while developing V&V processes, tooling, documentation, and test infrastructure aligned with automotive standards.

Own mechanical verification and validation for autonomous vehicles, including requirements decomposition, DVP&R planning, functional and environmental testing, fixture development, troubleshooting, root cause analysis, and corrective actions. Lead compliance testing and certification against automotive and safety standards, coordinate accredited laboratories, maintain certification documentation, and develop mechanical V&V processes, lab capabilities, and toolchains. Collaborate with design, systems, quality, software, OEMs, and suppliers.