Job Summary

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. 

Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

The Support Engineering Team ensures the continued safe and autonomous operation of the May Mobility fleet as well as aiding the autonomy team to advance our roadmap. The role of the Autonomy Support Engineers (ASEs) is to develop a broad expertise across the entire vehicle system and play a critical role as the first line of defense for remote debugging, investigating problems, and tracking issues within the fleet. The ASEs also contribute to ongoing development work through analysis of vehicle testing and curation and maintenance of vehicle datasets. 

Within this team, the Autonomy Support Engineer II will play a crucial role in validating the safety and functionality of our autonomous vehicle systems through comprehensive event review.  They may also create simulation scenarios that help evaluate system functionality.  This role is responsible for assigning observable cause for issues from the field in order to support the efforts of our Release team, Operational sites, and Autonomy Engineers.  It is the team of Autonomy Support Engineers and Autonomy Support Analysts that triage the most important issues and bring them to the Autonomy development teams for resolution. 

For this role, the candidate would work remotely most of the time with reliable internet access and no limit on data upload/download quantity. 

Essential Responsibilities

• Investigate reported fleet issues for observable cause, track and categorize common issues, and escalate when necessary to the Autonomy Software Engineering teams, which includes extensive reviewing of logged events from our Autonomous vehicles 
• Help build the company’s knowledge base for site staff and other Autonomy Support Engineers
• Curate and manage datasets for Autonomy software development
• Analyze testing data to assist in Autonomy software development
• Aid in early autonomy software testing either through on-vehicle experience or simulation scenario development
• Provide insights and patterns for cases that are preventing autonomy and escalate as necessary

Skills and Abilities

• Discretion and integrity when handling confidential or sensitive information
• Ability to understand and relate to the agile startup and engineering mindset
• Strong analytical and technical skills
• Strong written and verbal communication skills
• Proven ability in troubleshooting, keen attention to detail
• Ability to see patterns in data and log review to classify similarities and differences in cases
• Ability to ask critical questions and dig deeper than just the obvious answer
• Proficient with Linux scripts and terminal usage
• Ability to compose technical documentation such as how-to and debugging guides
• Comfortable continuously learning new softwares and workflows
• Able to work independently with minimal supervision

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• Bachelor’s degree in a technical field (preferred); however, some college experience or similar relevant career experience is acceptable 
• At least 3 years of relevant experience
• Strong analytical and technical skills
• Strong written and verbal communication skills
• Proven ability in troubleshooting, keen attention to detail
• Ability to see patterns in data and log review to classify similarities and differences in cases
• Ability to ask critical questions and dig deeper than just the obvious answer
• Basic to Intermediate Python coding skills
• Proficient with Linux scripts and terminal usage
• Basic to Intermediate C/C++ skills for for debugging and code analysis
• Understanding of BI Tools (e.g. AWS Quicksight, Tableau, Looker, Plotly Dash)
• Understanding of SQL
• Ability to compose technical documentation such as how-to and debugging guides
• Comfortable continuously learning new softwares and workflows
• Able to work independently with minimal supervision

Desirable

• Intermediate to Advanced Python coding skills
• Intermediate to Advanced C/C++ skills for debugging and code analysis
• Basic to Intermediate level SQL experience
• Experience working with autonomous vehicles
• Familiarity with a start-up environment and pace of business
• Experience analyzing, evaluating and transforming data from multiple sources
• Basic to Intermediate level BI Tool experience (e.g. AWS Quicksight, Tableau, Looker, Plotly Dash)
• Familiarity with Applied Intuition simulation software suite is a plus
  
  

Physical Requirements

• Standard office working conditions which includes but is not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use
• Potential for occasional work outside of normal business hours

• Travel required? -  Minimal:  0-20%