Staff Software Engineer Performance Engineering Optimization

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 Software Engineer - Performance Engineering Optimization.

In this role, you will

• Develop and add new features to high volume data-pipelines that manage AV performance data collected during online & offline execution.
• Design & build backend components for a variety of performance testing tools used by Aurora engineers across the organization.
• Integrate software and solve general programming problems in order to support the functionalities of specialist programmers.

Required Qualifications

• Minimum 3-5 years of professional experience
• Solid proficiency in Go or Python
• Knowledge and interest in programming with C++
• Cloud computing integration (preferably AWS)
• Good understanding of ETL Data pipelines
• Database creation, integration, and management using Cloud services.
• API integration
• Comfortable using Linux as your primary developer environment

Desirable Qualifications

• Have experience in data science and data engineering on cloud platforms.
• Be familiar with modern DevOps practices
• Understanding of frontend development technologies