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Senior Field Autonomy Applications Engineer

Senior Field Autonomy Applications Engineer

CompanyMay Mobility
LocationAnn Arbor, MI, USA
Salary$92000 – $110000
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Science, Robotics Engineering, Computer Engineering, or related degree
  • Familiarity with principles of mobile robotics
  • Outstanding oral and written communication skills
  • Demonstrated hands-on experience developing or editing software
  • Excellent problem-solving and analytical skills
  • Experience operating in a Linux environment, including familiarity with common Linux command line utilities or other comparable CLI familiarity
  • Willingness and ability to travel (up to 50%)
  • Ability to operate and drive May Mobility vehicles
  • Valid U.S. driver’s license and clean driving record
  • Willingness to undergo a driving record check

Responsibilities

  • Improve May’s processes and tools for deploying autonomous vehicles
  • Collaborate with Autonomy, Product Management, and other engineering functions to develop features across May Mobility’s product portfolio
  • Build tools and features to support and improve Field Engineering workflows
  • Represent the company professionally and confidently at public events, engaging with clients, media and other stakeholders
  • Lead and facilitate cross-functional projects in developing product features, tool improvements, and processes for accomplishing customer deliverables
  • Travel to May Mobility sites to provide hands-on support to technical issues and processes, as well as expert diagnosis, triage, and prioritization of autonomy behaviors
  • Coordinates and develops the on-site configuration and deployment of autonomous technology in new locations

Preferred Qualifications

  • Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent work experience
  • Prior experience with mobile robotics and/or autonomous vehicles
  • Experience designing software in C, Python, and/or Bash environments
  • Experience handling and creating insights from large data sets
  • Exposure to or experience with machine learning
  • Experience in leading teams or managing projects