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 

Requirements:

  • 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 

Benefits

  • 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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