Staff Autonomous Vehicle Security Engineer

  • Locations
    • San Francisco
    • Pittsburg, CA
    • Mountain View
    • Dallas
  • Date Posted
  • May. 25, 2021
  • Function
  • IT
  • Sector
  • Mobility

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’s Product Security team’s mission is to design security into all software, hardware, and services developed by Aurora.

Our team is responsible for the secure design and implementation of technology built for the onboard vehicle platform and the cloud services with which the vehicle communicates. In addition to performing architecture reviews, reviewing threat models, executing code reviews, and fuzzing Aurora’s products, we also design and develop new security technologies for our autonomous vehicle platform.

  • We are searching for an experienced autonomous vehicle security engineer to join us on this mission.
  • Job level is negotiable based on experience. Remote work is approved for US-based employees, including for post-pandemic.

In this role, you will

  • Design and develop new security technologies for our autonomous vehicle platform
  • Perform architectural design reviews of software, hardware, and services
  • Execute dynamic penetration testing on Aurora’s software, hardware, and services
  • Develop scripts and tools to assist with security assessments, and to automate security scans
  • Assist development teams in driving their secure SDLC


  • Familiarity with Zero Trust Architecture
  • Experience building and evaluating threat models
  • Experience performing dynamic testing of software and services
  • Solid understanding of cryptography as it relates to PKI and network security protocols such as TLS
  • Familiarity with automotive protocols and security standards
  • Foundational knowledge of operating system security for Linux
  • Foundational knowledge of the CWE Top 25
  • Ability to write production-quality code in Golang, Python, or C++
  • Ability to communicate effectively with technical and non-technical audiences
  • Minimum 5 years of experience in the information security space
  • Minimum 2 years of experience in the robotics or automotive space


  • Experience designing solutions for a Zero Trust Architecture
  • Foundational knowledge of firmware security and hardware security, specifically in the automotive space
  • Experience performing dynamic testing of hardware
  • Experience with WiFi, Bluetooth, RF, and/or USB security
  • Experience developing and using fuzzers
  • Foundational knowledge of cloud security, specifically AWS
  • Familiarity with infrastructure-as-code
  • Experience with Trusted Platform Modules, HSMs, and trusted boot
  • A history of giving back to the security industry via open source contributions, published papers, or conference presentations

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.

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.