Tackle end-to-end perception challenges, including tracking dynamic actors, recognizing actions and attributes, and developing deep semantic understanding of diverse traffic environments.

Research and develop state-of-the-art machine learning models to enhance perception performance in challenging, real-world scenarios, such as highway versus urban driving, long-range multi-sensor tracking, varying weather conditions, and degraded sensor conditions.

Collaborate cross-functionally to iterate on the Perception system, translating insights from on-road and simulated testing into robust, high-quality, and well-tested software solutions.

Drive the software development lifecycle from prototype to production, focusing on large-scale data analysis and the deployment of performing, production-ready solutions on the real-time Aurora Driver platform.

Contribute to architectural strategy and team collaboration, ensuring our perception systems remain scalable, efficient, and at the forefront of autonomous driving technology.

Example projects that a candidate could potentially contribute to (list not exhaustive):

Design and implement state-of-the-art object tracking algorithms.

Design algorithms to extract, leverage, and fuse complementary information from different sensors.

Design and implement state-of-the-art ML systems for object tracking and object attribute classification leveraging expertise in recursive state estimation, Hidden Markov models, structured prediction, and sequential models.

Build and improve model pipelines for large-scale and efficient model training.

Analyze failure modes and implementation/testing of solutions to address the surfaced issues

Software Engineer II, Perception

Responsibilities

Qualification

Required

Benefits

Company

Aurora Operations Inc

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