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Lead design and development of compute systems for autonomous vehicles, mentor junior engineers, and provide technical leadership throughout the engineering process.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

The Director of Production will lead vehicle assembly and manufacturing processes, manage factory operations, and ensure safety and quality in production while overseeing budgets and team performance.

The role involves resolving issues in vehicle manufacturing by leading root cause analysis and implementing corrective actions while collaborating with cross-functional teams.

The Full-Stack Software Engineer will design and implement features for both Android applications and a Kotlin Spring Boot backend, collaborating with cross-functional teams to enhance the rider experience in autonomous vehicle ride-hailing.

Work on perception algorithms for tracking and classification, integrating ML models into a vehicle stack, and optimizing performance in latency-sensitive systems.

Lead program management for deployment of operations infrastructure supporting autonomous vehicle sites. Coordinate cross-functional teams to enable charging, maintenance, data offload, and site readiness. Establish reporting, identify and mitigate risks, scale enablement processes across cities, and drive decisions accounting for operational costs, vehicle needs, and software features.

Lead development of automation frameworks, tools, and web-apps to streamline platform safety clearance and system-level validation (HIL/SIL). Build dashboards, execute and debug automated verification tests, and propose process improvements.

Develop multimodal large language models for autonomous vehicles, optimizing performance and safety through advanced machine learning techniques and real-world data validation.

The Quality Engineer will ensure proper quality standards for parts received and products released, coordinate rework activities, and lead quality improvements in manufacturing processes.