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The Staff Technical Program Manager will lead programs managing software infrastructure, deployment, and hardware-software integration for autonomous vehicles, ensuring stability and throughput of testing systems.

The Staff Software Engineer will develop and validate the core Autonomy Framework, ensuring the efficiency and safety of autonomous vehicle applications.

The Staff Software Engineer will develop and validate Aurora's core Autonomy Framework, addressing performance and safety in self-driving technology while collaborating across teams to enhance platform efficiency.

Design, implement, and maintain vehicle pose estimation solutions using sensor data. Rigorously evaluate and test localization systems for safety and performance, and collaborate with partner teams to integrate and improve localization functionality.

Lead planning, coordination, and execution for hardware NPI programs. Drive manufacturing readiness with design, manufacturing, supply chain, and contract manufacturers; manage change control, risk assessments, and cross-functional communication to launch safety-critical hardware.

The Program Manager will lead project strategies, manage timelines, improve processes, and ensure effective communication within the People team and the broader organization.

The Staff Software Engineer will develop and validate Aurora's Core Framework, improving efficiency and troubleshooting complex issues in real-time systems.

The Program Manager for the People Team will drive program strategy, connect stakeholders, improve communication, and manage complex HR projects in a high-growth environment.

Lead supply chain readiness for hardware programs from prototype to high-volume manufacturing. Develop purchasing, supplier quality, timelines, and resilience mapping. Build metrics and dashboards, present executive updates, represent GPSC in program meetings, and drive data integrity and automation improvements across cross-functional teams.

The Applied Researcher will explore and optimize Vision-Language-Action models, mentor the engineering team, and implement scalable AI solutions in a hybrid work environment.