Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a Machine Learning / Computer Vision Software Engineer for our Perception Team.
In this role, you will Collaborate with other members of the Perception autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver. Serve as a technical expert for the team on at least one area related to machine learning, with particular focus on computer vision, recursive state estimation, structured prediction, optimization, and others. Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e.g., on highways and city streets, long-range and multi-sensor object detection, detection under degraded sensors, etc.). Design, prototype and evaluate machine learning algorithms and DNN architectures for detection of traffic actors, their action recognition, and semantic understanding of various traffic scenes that the Aurora Driver encounters. Drive performance improvements & own validation for a perception capability (e.g., Vehicle tracking, Traffic Lights, etc.). Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver. Required Qualifications Excellent software engineering skills in C++ and Python. Extensive experience in any deep learning framework, such as PyTorch, JAX, TensorFlow. 6+ years of industry experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record). Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or other robotics related projects). Desirable Qualifications (this section is optional)
Contributions to open source project(s). Strong track record in any field related to machine learning, as evidenced by top-tier publications. Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG). The base salary range for this position is $168K-$252K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
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