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Responsible for leading a team of engineers and building scalable backend services for data processing, discovery, and lineage systems using cloud ETL technology.

Develop algorithms for autonomous driving and create software for safe and intuitive motion planning. Collaborate with perception and control components, and mentor team members.

Own and grow strategic partnerships, act as primary commercial owner for key accounts, align cross-functional teams for deployments, lead executive-level partner governance, define KPIs, support market rollouts, and translate partner insights into product and engineering requests to scale commercial driverless services.

Own and grow strategic partner relationships, align cross-functional teams for deployments, lead executive engagement and QBRs, define KPIs, support market rollouts, and translate partner feedback into product and operational improvements to drive retention and revenue.

Own and grow strategic commercial partnerships, align cross-functional teams for deployments, define KPIs, lead executive partner engagements, support market rollouts, and translate partner insights into product and operational improvements.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

This role involves designing performance analysis pipelines, developing metrics software, ensuring data quality, and collaborating cross-functionally to improve autonomous vehicle performance evaluation.

The Senior Software Engineer will develop metrics and tools for evaluating autonomous vehicle performance, ensuring data quality, and collaborating with multidisciplinary teams.

The Senior Software Engineer will develop metrics and tools to analyze and report on autonomous vehicle performance, focusing on data quality and collaboration with cross-functional teams.