Perception & Mapping Intern

Mountain View, CA · Remoteinternship

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entry

H1B: yes

Aurora Operations Inc Perception & Mapping Interns develop models for object detection, tracking, sensor fusion, and semantic segmentation to improve autonomous vehicle perception. They work with large real-world datasets and partner with engineers on next-generation perception systems.

Responsibilities

Develop onboard and/or offboard perception or mapping models to improve autonomous vehicle performance
Process sensor data (camera, radar, lidar) to detect and track objects, actors, signs, traffic lights, and hazards
Analyze, root-cause, and help resolve system deficiencies such as false positives/negatives and misclassifications
Work with large real-world datasets across training, evaluation, and visualization pipelines
Partner with full-time engineers to contribute to the next generation of the perception or mapping system

Qualification

Proficiency in Python and C++Desirable qualificationsKnowledge of object tracking

Required

Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
Strong ML and computer vision fundamentals
Hands-on deep learning experience in PyTorch (or comparable), including model training and debugging
Proficiency in Python and C++
Comfort working with large datasets across training, evaluation, and debugging pipelines
Has built and trained a perception or mapping model end-to-end, not only fine-tuned an existing backbone
Desirable qualifications
Experience with VLMs or other pretrained foundation models
Prior publication record at a top-tier venue
Knowledge of object tracking, Kalman filtering, or Hidden Markov Models

Preferred

Experience with VLMs or other pretrained foundation models
Prior publication record at a top-tier venue
Knowledge of object tracking, Kalman filtering, or Hidden Markov Models

Benefits

Vision

Company

Aurora Operations Inc

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Source: ashby

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Remote-friendly

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