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The Data Platform Engineer will design and implement systems for data ingestion, management, and efficiency for autonomous vehicle data, collaborating across teams to improve data and system performance.

Lead safety analysis and research at Aurora, applying statistical analysis, probabilistic modeling, and risk assessment to support self-driving technology safety strategies.

Design and develop web applications for visualizing self-driving vehicle data using Typescript and React, collaborating with cross-functional teams.

The Mission Control Specialist monitors autonomous vehicle operations, provides technical expertise, responds to trigger requests, logs performance feedback, and collaborates on best practices while ensuring safety in operations.

Design and ship features for visualizing self-driving vehicle data. Collaborate with product teams and write high-quality web application code using Typescript and React.

The Staff Supplier Quality Manager oversees supplier quality developments for autonomous vehicle hardware, ensures compliance with quality standards, and leads supplier audits while collaborating with engineering and manufacturing teams.

Develop and maintain strategies for testing Aurora's Perception subsystem, analyze results, and communicate findings to enhance system performance.

The Software Engineer II will develop a differentiable vehicle dynamics simulator using PyTorch, build simulation pipelines, and analyze data for safety and performance of Aurora's autonomous technology.

The Software Engineer will develop infrastructure for vehicle software integration, enhance fault monitoring, and create tools for software analysis within autonomous vehicles' control systems.

The role involves developing large scale data pipelines, optimizing on-board ML infrastructure, and collaborating on ML workflow requirements with various teams.