Staff Software Engineer, Online Maps

Job description

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

Lead and Collaborate with other members of the Online Maps autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver
Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios
Develop novel verification and validation technologies and techniques
Partner with engineers from online maps, simulation, and safety to ensure that online mapping technology is ready for operation with no vehicle operator
Build infrastructure and tests that support critical go/no go decisions for deploying the Aurora Driver
Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver

Excellent software engineering skills in Python and/or C++
Extensive exp in any deep learning framework, such as PyTorch
Extensive exp 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 robotics projects)
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