About Ghost

Ghost is developing the revolutionary technology that finally makes self-driving safe. Made possible by a breakthrough in crash prevention that can reliably handle any obstacle on the road, Ghost brings autonomous highway driving to the mass passenger car market.

Ghost was founded in 2017 by John Hayes and Volkmar Uhlig and is based in Mountain View, CA. Before Ghost, John founded Pure Storage, taking the company public in 2015.

Ghost is backed by investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, and Vinod Khosla at Khosla Ventures.

Learn more at driveghost.com.

The Role 

Model Engineers at Ghost build and test the models that literally drive our vehicles. Operating on the noisy data of a real-world environment, they face complex and open-ended problems and create solutions that have the potential for enormous impact.  

We’re looking for a Model Engineer to spearhead our planning and control efforts.  This person will be responsible for the downstream components of our model pipeline starting with synthesizing signals from various perception sources and ending with achieving a desired vehicle output. 

What you will do: 

  • Ensure signal integrity of the various inputs from vision neural networks, IMU and the vehicle 
  • Use techniques from machine learning, optimization, and control theory to plan and execute the vehicle trajectory 
  • Formulate and run simulations that account for all plausible real-world scenarios across various operating domains 
  • Liaise with various internal and external stakeholders while adhering to highest quality standards and tight timelines 


  • Bachelor’s degree or higher in Control Systems or a related field, with a PhD strongly preferred 
  • Professional experience in control systems development, with experience at an automotive company a plus 
  • A track record of having shipped models and code into production 
  • Strong programming skills in object-oriented languages (functional programming is a plus), including ability to debug and optimize code  
  • Working knowledge of machine learning, data engineering, deep learning frameworks, and related testing techniques 
  • Strong communication skills including the ability to concisely translate technical information to non-experts 


  • 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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