Data Science Software Engineer
Aurora Innovation (View all Jobs)
Mountain View, California
Interview Process
1. Simplified real-world coding task on Coderpad.io 2. Time-boxed take-home assignment 3. Face-to-face meeting with teammates.
Programming Languages Mentioned
Python
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 win together—all without any jerks.
We have offices in 8+ locations across the United States. We offer a competitive benefits package to qualifying employees. Our Career Page includes everything you need to know about working at Aurora.
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 that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
We believe that self-driving technology has broad benefits – including an increase in safety and access to transportation – and to achieve those benefits, we want and need a workforce with diverse experiences, insights, and perspectives; said another way, a workforce that reflects the communities and people our technology will benefit. You can find all the latest news on our Blog
Individuals seeking employment at Aurora are considered without regard to 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.
For California applicants, information collected and processed as part of your application, and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
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