Data Science Software Engineer

Who We Are

Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly. Founded in 2017 by experts in the self-driving industry, Aurora is revolutionizing transportation – making it safer, increasingly accessible, and more reliable and efficient than ever before. Its flagship product, the Aurora Driver, is a platform that brings together software, hardware, and data services, to autonomously operate passenger vehicles, light commercial vehicles, and heavy-duty trucks. Aurora is partnered with industry leaders across the transportation ecosystem including Toyota, Volvo, PACCAR, Uber, Uber Freight, FedEx, and U.S. Xpress. Aurora tests its vehicles in the Bay Area, Pittsburgh, and Texas and has offices in those areas as well as in Bozeman, MT; Seattle, WA; Louisville, CO; and Detroit, MI. To learn more, visit www.aurora.tech.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior Simulation Data Engineer.

Our Simulation ML and Data Science team is responsible for developing data-driven approaches to advance development and validation of the Aurora Driver. We build technology that helps make the most use of our on-road data by improving signals from simulation tests and creating variations that challenge the Aurora Driver’s capabilities. We help establish offline testing as a trusted and efficient complement to on-road driving. 

We’re searching for a Simulation Data Engineer to lay the foundation in making data-informed decisions that impact the safety of Autonomous Vehicle behaviors, verification and validation of Aurora's self-driving technology and business growth. 

While interviewing, you will be expected to intelligently reason about data-driven approaches to leverage offline simulation in the verification and validation of autonomous driving. Your role will interface with Product, Autonomy Development, Systems and Safety Engineering teams and will drive mission-critical decisions in a multi-trillion dollar industry.

In this role, you will

• Build pipelines to analyze results of large simulation tests to extract insights that inform autonomy software development and validation
• Design and build infrastructure to support our ML development workflow, such as data collection, processing, evaluation and iteration
• Support development of key metrics for safety and performance of autonomous driving in selected Operational Design Domains (ODDs), based on first principles, as well as an analysis of manual and autonomous driving miles
• Identify, utilize, or create as appropriate the needed technical machinery for large scale data analysis and visualization 
• Surface succinct, actionable data widely in regularly updated dashboards
• Work with Motion Planning, Perception, Safety and Simulation engineers to ensure their respective teams have the information they need to make timely, informed decisions
• Support your team with code reviews and ideas as part of a collaborative environment 

Required Qualifications 

• MS or PhD in Statistics, Mathematics, Computer Science, Machine Learning, or a related field
• Experience architecting data and software systems to facilitate reliable statistical analysis at scale
• Experience with data processing frameworks and storage engines
• Practical knowledge of common data analysis, inference, and statistical modeling tools, including Python
• Self-starter who will see opportunities to apply capabilities that add value throughout the organization
• Strong interpersonal and communication skills
• Enthusiasm for applying data science at scale to the toughest challenges in autonomous driving
• 4+ years of experience in a Data Science/Statistical Analysis role is preferred

The base salary range for this position is $168K-$210K 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. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-BB3

#Mid-Senior 

Working at Aurora

At Aurora, we bring together people with extraordinary talent and experience united by the strength of our values. We operate with integrity, set outrageous goals, and continue to build a culture where we