About Ghost

At Ghost, our mission is to make self-driving for everyone. We build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market.

Ghost helps automakers reimagine the car of the future with a complete autonomy solution that can be fully customized and continuously upgraded, delivering a car that keeps getting better year after year.

At Ghost, we are responsible for both invention and productization – not only solving complex problems with novel technology but making sure that it can scale to millions of drivers on the road. It’s a bold undertaking, but one that makes for constant learning, real-world impact, and fulfilling work. Together, we are a small, multi-disciplinary team tackling one of the hardest challenges in technology today.

Ghost was founded in 2017 by John Hayes and Volkmar Uhlig. Before Ghost, John co-founded Pure Storage, taking the company public in 2015. 

Ghost has 150 employees across its headquarters in Mountain View and additional offices in Dallas and Sydney. Ghost has raised $165 million from investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, and Vinod Khosla at Khosla Ventures.

Learn more at https://ghostautonomy.com.

 The Role 

What you will do: 

  • Understand camera requirements and develop internal image quality tests and tools for camera evaluation to benchmark and improve performance of SW, Neural Networks, and ISP based algorithms 
  • Develop and perform lab testing of cameras at module and product level 
  • Support camera testing at manufacturing sites 
  • Work with cross-functional engineering teams (Electrical Engineering, Mechanical Engineering, and Industrial Design) for camera module validation and integration of camera hardware into vehicles 
  • Perform failure analysis and debugging of camera hardware and image quality at both the camera module and product level 


  • B.S in Optics, Image Science, Electrical Engineering, Physics, Image Processing or a related technical discipline 
  • 1+ years of industry or related work experience 
  • Knowledge in scientific programming software, such as MATLAB or Python 
  • Experience with camera module or lens testing and characterization 
  • Familiarity with image processing and computer vision algorithms
  • Understanding of image quality metrics and evaluation methodology 

Nice to haves: 

  • M.S. or Ph.D. in Optics, Image Science, Electrical Engineering, Physics, Image Processing or a related technical discipline 
  • Experience with computer vision camera calibration 
  • Expertise with image quality analysis software packages (e.g. Imatest, Image Engineering) 


  • Medical, Vision and Dental coverage (PPO, HMO, and HSA options available; 100% premium coverage of several PPO and HMO plans for employees and their dependents) 
  • 401(k) plan 
  • Flexible Medical and Dependent Care Plans 
  • Life Insurance  

Ghost is committed to equal employment opportunity. We will not discriminate against employees or applicants for employment on any legallyrecognized basis [“protected class”] including, but not limited to: veteran status, uniform service member status, race, color, religion, sex, national origin, age, physical or mental disability or any other protected class under federal, state or local law. 


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