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Aurora delivers the benefits of self-driving technology safely, quickly, and broadly.

Diagnostic Service Engineer
Dallas, TX, US
Job Description / Skills Required

Who We Are

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 a team 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 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 are searching for vehicle diagnostic engineer to be located in Dallas, TX. In this role, you will work closely with our site reliability engineers, vehicle service technicians and vehicle operators. 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 fleet runtime 
  • Assist fleet technicians with hardware and fleet management tasks including development and production deployments
  • Perform sensor calibrations, platform upgrades, and new platform bring-up
  • Document and track issues from occurrence through resolution

Required Qualifications

  • BS in Mechanical Engineering, Robotics Engineering, 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 

Desirable Qualifications

  • 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 debugging complex systems
  • 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 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.

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. 

About Aurora

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.