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

Electrical Systems Engineer
Bozeman, MT, US
Palo Alto, CA, US
San Francisco, CA, US
Job Description / Skills Required

Aurora Overview

Bringing self-driving vehicles to our roads is the most transformative opportunity of our generation. Aurora is taking a fresh start with the development of self-driving technology, combining excellence in AI, rigorous engineering, and a team with decades of experience building robots that work.

Led by a team of seasoned experts, including three of the world’s leaders of self-driving technology, our mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. We are designing the software and hardware to power the transportation of our future that will make our roads safer, give more people access to mobility, and reduce congestion and pollution in cities - improving the quality of life for all. The challenge in what we are endeavoring to achieve is transcendent; we are developing perhaps the world’s most complex computing system and asking it to perform the task of transporting and keeping safe our most precious asset: human life. 

We’re looking for people who are as excited as we are to solve these complex problems and make this tremendous impact on our future, and who want to be surrounded by great people while we do it. We are searching for a talented, motivated Systems Engineer to contribute to the research and development of our FirstLight LiDAR product family. 


  • Define requirements and specifications for Aurora FirstLight LiDAR system components and subsystems; including Compute, ADCs, EMI/EMC, Power, and Photonics 
  • Collaborate closely with cross functional team members in the Electrical, Embedded Systems, Test, NPI, R&D and Autonomy Systems teams
  • Engage with technology project leads, and domain experts in creating the overall system architecture 
  • Prepare and present technical reports for management
  • Drive requirements and specifications for electrical components, subsystems, system validation and verification testing
  • Provide guidance for troubleshooting complex system quality issues throughout the product lifecycle from concept through fleet deployment
  • Defining requirements for external suppliers and contractors, and managing execution


  • MS in Electrical Engineer (or equivalent experience) 
  • 5+ years of industry experience in electrical design or systems engineering
  • Prior experience in collecting and analyzing data from complex systems using Matlab or Python 
  • Must be able to work effectively in a fast-paced startup environment
  • Prior experience with relevant systems such as: LiDAR, LADAR, Radar, Cameras, Optical Telecommunications or RF Systems 
  • Strong organizational abilities to drive and manage requirements end to end 
  • Excellent communication and interpersonal skills


  • PhD (or equivalent)
  • Autonomy or Automotive systems experience 
  • 8+ years of expertise and leadership in sensing or communication systems 
  • Expertise in system engineering processes and best practices
  • Familiarity with FMCW LiDAR

Working at Aurora

Our work has real purpose. Delivering self-driving will improve lives around the world, expanding access to transportation, revitalizing cities, giving people more time back every day.

We’re one team. We’re inspired by the challenge of what we’re solving and the impact our work will have on society. Our camaraderie is built on respect for our work and the fundamental belief our success will be a result of working together.

The Founding Team

Aurora has assembled the most experienced leadership team in the space. 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 Autopilot system. Drew Bagnell, also a Carnegie Mellon alum, is a machine learning expert who helped build Uber’s autonomy effort. At Aurora, these three continue to bring experts from all areas of the industry to the team. We are funded by some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock and Index Ventures.