Aurora is looking to solve the problem of delivering the benefits of self-driving technology safely, quickly, and broadly, specifically by improving the perception algorithms that power the Aurora Driver
Requirements
- Excellent software engineering skills in C++ and Python
- Extensive exp 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
- Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or other robotics related projects)
- Contributions to open source project(s)
- Strong track record in any field related to machine learning, as evidenced by top-tier publications
Responsibilities
- 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
- 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
- Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver
Other
- 6+ years of industry experience
- Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or other robotics related projects)
- Bachelor's, Master's, or Ph.D. degree in a relevant field (not explicitly mentioned but implied)
- Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law
- Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law
