Staff Software Engineer, Online Maps

About the role

The Maps ML team at Aurora is responsible for providing map data to the Aurora driver in the face of real-time world changes. This role involves leading and collaborating with other members of the Online Maps autonomy team to improve and ideate perception algorithms that power the Aurora Driver.

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

Requirements

• Excellent software engineering skills in Python and/or C++
• Extensive experience in any deep learning framework, such as PyTorch
• Extensive experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)

Desirable Qualifications

• 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

Pay

The base salary range for this position is $189,000 - $303,000 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.

Schedule

Aurora operates in a hybrid work environment where employees are in the office at least 3 days per week.