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 camera calibration algorithms for camera module and vehicle-level integration 
  • Simulate camera calibration process and evaluate optimal algorithms and processes 
  • Develop metrics to evaluate performance of camera calibration over the lifetime of the camera 
  • Integrate camera calibration algorithms into SW pipeline 
  • Collaborate with SW and Perception teams to benchmark and improve performance of SW, Neural Networks, and ISP based on the camera calibration 


  • B.S in Computer Science, Optics, Image Science, Image Processing, or a related technical discipline 
  • 3+ years of industry or related work experience 
  • Knowledge of camera sensors, optics, and imaging pipeline 
  • Deep understanding of stereo camera models, calibration methods, distortion models, and rectification methods 
  • Expertise with camera calibration algorithms, stereo cameras, and multi-view geometry 
  • Experience with non-linear optimization 
  • Skilled with image processing and computer vision algorithms 

Nice to haves:

  • M.S. or Ph.D. in Computer Science, Optics, Image Science, Image Processing, or a related technical discipline 
  • Experience with SLAM and/or VIO algorithms 
  • Understanding of image quality metrics and evaluation methodology 
  • History working with real-time algorithms 
  • Background with machine learning and deep learning techniques 


  • 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.

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)