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

Technical Lead Manager - Perception Calibration
Palo Alto, CA, US
Pittsburgh, PA, US
Bozeman, MT, 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, 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.

Aurora hires people who are excited to build the future of transportation. We’re looking for people who are as excited as we are to solve this incredible technological problem. Specifically, we're searching for a Technical Lead Manager to lead our Perception Calibration Engineering team. This team is responsible for developing novel algorithms and sustainable processes for high resolution offline calibration methods as well as robust real-time algorithms.


  • Manage and lead a team to develop reliable and scalable multi-sensor calibration algorithms for high precision offline and online calibration methods.

  • Develop algorithms to improve the calibration of Aurora’s FMCW lidar sensors, and to use the unique properties of these sensors to improve calibrations of other sensors.

  • Collaborate with vehicle engineering, localization and perception teams to implement calibration systems that work for vehicle production, field support and development.

  • Integrate and support solutions within the constantly evolving Localization and Perception stacks.

  • Build scalable sensor calibration process and data pipeline that scales with our growing fleet and support tools and operations for keeping the fleet reliably calibrated.


  • PhD in Robotics, Computer Vision, Systems Engineering, or another relevant engineering field highly preferred, with 5+ years of industry experience

  • Excellent software development skills in C++

  • Experience in one or more areas of sensor/system calibration, optimization, and computer vision

  • Excellent knowledge of Linear Algebra, Convex Optimization, Statistics or Numerical Analysis


  • Excellent knowledge of multi-sensor calibration, including lidars, cameras, radars, and IMUs

  • Background in SLAM or state estimation 

Working at Aurora 

Our work has real purpose. Delivering the benefits of self-driving will save lives around the world, expand access to transportation, revitalize cities, and give people 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 developed MIT'S Intelligent CoPilot, then led the team that delivered Tesla Autopilot. 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 Amazon, T Rowe Price, and some of Silicon Valley’s best venture capital firms, including Sequoia, Greylock and Index Ventures.