Aurora aims to deliver the benefits of self-driving technology safely and broadly by creating a new era in mobility and logistics through the Aurora Driver. The company is seeking to build a transportation ecosystem that makes roads safer, improves efficiency, and enhances accessibility for all.
Requirements
- Excellent software engineering skills in Python and/or C++
- Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow
- 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
Responsibilities
- 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
Other
- Mid-Senior level position
- Eligible for an annual bonus, equity compensation, and benefits
- The base salary range for this position is $162,000 - $260,000 per year
