Staff Software Engineer, Online Maps

Overview Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, bringing a safer, more efficient, and more accessible future. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. We’re searching for a Staff Machine Learning Engineer - Online Maps to join Aurora’s Maps ML team. The Maps ML team is responsible for providing map data to the Aurora driver in the face of real-time world changes. In this role 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 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 Required Qualifications 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 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) Compensation and Benefits 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, starting base pay is based on job-related skills, experience, qualifications, 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. About the role level Mid-Senior Working at Aurora We bring together extraordinarily talented and experienced people united by our values. We operate with integrity, set ambitious goals, and build a culture where we win together — all without any jerks. We believe in-person work increases collaboration and empathy, and we operate in a hybrid environment where Aurorans are in the office at least 3 days per week. Our Careers page provides insight into what it is like to work at Aurora, and you can find updates in our Newsroom. Our commitments Our commitment to safety At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe each employee has a role in contributing to safety every step of the way. We seek candidates who take responsibility, contribute to trust, and invest in long-term success by prioritizing safe work. Our commitment to inclusion Aurora considers candidates without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy, parent or caregiver status, ancestry, political affiliation, veteran or military status, disability, or any other status protected by law. We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job procedures. If you need assistance or an accommodation, you may contact us at View email address on click.appcast.io. For California applicants, information collected as part of your application is subject to Aurora’s California Employment Privacy Policy. #J-18808-Ljbffr