Senior Field Autonomy Applications Engineer

May Mobility is looking for a Senior Field Autonomy Applications Engineer who will work closely with cross-functional teams to triage and resolve complex technical issues while effectively communicating their impact across the organization. Additionally, you will play a key role in enhancing internal workflows, using your expertise to develop tools and solutions that drive operational efficiency.

The role includes significant travel – up to 50%.

Essential 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

Qualifications and Experience: Required:

• 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

Desirable:

• 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

This is a hybrid role based out of Ann Arbor, MI, with 2 to 3 days per week or 8 days per month in office. The position offers a comprehensive benefits package and a flexible vacation policy.