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As a Software Engineer I, you'll work with vehicle platforms, integrating core hardware components, optimizing performance, and utilizing HIL environments for testing.

The Applied Researcher will explore VLM/VLA architectures, mentor engineers, implement practical solutions, and innovate model designs for Aurora's self-driving technology.

The Staff Software Engineer will develop high-throughput logging frameworks for self-driving vehicles, ensuring efficient data collection and offloading while collaborating with various teams to optimize system performance.

Manage complex projects in autonomous systems, partnering with technical teams to drive project progress, resolve dependencies, and ensure successful outcomes.

The role involves managing complex technical projects, collaborating with cross-functional teams, and driving product development in autonomous systems and robotics.

The role involves managing complex projects in autonomous systems, collaborating with teams to prioritize developments, assess requirements, and communicate progress while ensuring effective project management practices.

Develop real-time algorithms for self-driving vehicle trajectories, integrate machine learning with motion planning, and design production-grade software for the Aurora Driver.

Lead and collaborate on developing perception algorithms for the Aurora Driver, focusing on deep learning and machine learning models, while ensuring infrastructure readiness for autonomous operations.

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.