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

Signal Processing Engineer, DSP
Bozeman, MT, US
Job Description / Skills Required

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 subject matter expert to contribute to the development of the world’s most advanced coherent (FMCW) lidar.


  • Drive the development of advanced signal processing algorithms for FMCW lidar
  • Verify and validate algorithm behavior and performance 
  • Work with a broad team of optical physicists, electrical engineers and robotic perception experts to solve multi-disciplinary challenges 


  •  B.S. in Electrical Engineering, Computer Engineering, Mathematics, Physics or related degree
  • Deep experience with algorithm development, implementation on FPGAs, and validation
  • Strong DSP fundamentals (filter design, fixed precision optimization, fourier) analysis


  •  M.S. in Electrical Engineering, Computer Engineering, Mathematics, Physics or related degree
  • Software test/QA and/or HIL test experience
  • Control systems
  • GP-GPU experience
  • Adaptive Filtering 
  • Background in radar, lidar, or telecommunications
  • Experienced with MATLAB, VivadoHLS, Vivado (or similar), ModelSim, DSP Builder (or similar), FPGA build scripting (bash, tcl, perl etc), version control (Git, Mercurial, SVN)

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.