- Date Posted
- May. 25, 2021
- Software Engineering
At Aurora, we’re on a mission to deliver the benefits of self-driving technology safely, quickly, and broadly. It all starts with the Aurora Driver, a platform created from industry-leading hardware and software and designed to adapt across a variety of vehicle types and industries.
We’re led by what Bloomberg has called a “rock star cast” of self-driving luminaries and we’ve forged strategic partnerships with leading transportation companies—including ride-hailing network Uber, truck-manufacturers PACCAR and Volvo Trucks, and the world’s largest automaker Toyota—setting us up to deliver the Aurora Driver in both trucks and passenger vehicles. We are funded by Amazon, Uber, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock, and Index Ventures.
Aurora is in the best position to lead the self-driving space with a team of unparalleled depth and expertise, the technology to deliver, and the partnerships to build a transformative business for the long-term.
Aurora hires people who want to build the future of transportation. We are searching for a vehicle reliability engineer to be located in Dallas-Fort Worth. In this role, you will work closely with our site reliability engineers, vehicle service technicians, and vehicle operators to support the second shift of Vehicle Operations (4pm - 12a CST). You will be responsible for troubleshooting, diagnosing, and tracking all issues the autonomous vehicle fleet encounters while in the field.
In this role, you will
- Use a safety centered approach to troubleshoot and perform general root cause analysis for common software and hardware faults across all quickly developing platforms
- Collaborate with engineers, technicians, and operators to improve product performance, drive down faults, and maximize test efficiency
- Perform sensor calibrations, platform upgrades, and new platform bring-up
- Document and track issues from occurrence through resolution
- Quality field reporting
- Continuous quality improvements
- BS in Engineering, Computer Science, Physics, or related STEM field
- Previous automotive or AV technical experience
- Excellent problem solving and troubleshooting skills from inception through documentation and closure
- Experience working with various complex hardware and software systems including lidar, radar, cameras, and computers
- Detail oriented self starter with strong desire to learn new skills and the ability to work independently with minimal supervision
- Strong understanding and experience with Linux Operating System
- Strong communication skills with the ability to communicate across different teams, offices, and time zones
- Ability to wear different hats and quickly multitask
- Excellent documentation skills
- Fault analysis experience
- Data Analytics experience
- 2-5 year Experience troubleshooting autonomous vehicle and electric vehicle issues
- Knowledge of CAN bus architecture
- Programming skills in automated testing and data processing (e.g Python, SQL)
- Experience using Git
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 Pittsburgh, Mountain View, San Francisco, Bozeman, Dallas and Seattle. We also offer a competitive benefits package that supports the whole you, including:
- Competitive salary, bonus and RSU package
- Premium choices for Medical, vision, and dental
- 401k benefits
- Life and disability benefits
- 18 weeks paid leave for new parents and caregivers
- Flexible vacation and company paid holidays
- Fertility benefits through Carrot
- Working from home support
- Professional growth and mentorship opportunities through the Aurora Academy
- Wellness Platforms (Spring Health, Headspace, Aaptiv, Quit Genius)
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.
Individuals seeking employment at Aurora are considered without regards to race, color, religion, national origin, age, sex, gender identity, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, military service, or physical or mental disability. You are being given the opportunity to voluntarily provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements. Your responses, or your choice not to respond, will not be associated with your specific application, nor will they be used in the selection process or in making any hiring decision.
Founded in 2017, Aurora was started by industry luminaries, and now we’re a team with a multitude of perspectives and experiences. Chris Urmson helped lead Carnegie Mellon’s efforts in Darpa’s Grand Challenges, then was a founding member of Google’s self-driving team. Sterling Anderson worked on the tech at MIT before leading Tesla’s Model X and Autopilot programs. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. Regarded as the most experienced leadership team in the industry, these three bring decades of expertise, passion and focus to realizing our mission.