Lead Software & Data Engineer

  • May Mobility
  • Ann Arbor, MI
  • Jun 30, 2020

Job Description

About May Mobility

May Mobility is a self-driving technology company working to transform today's mobility landscape, by starting with a niche market–low-speed shuttles for public roadways. Our vehicles are on the streets of Detroit and Grand Rapids, Michigan and Providence, Rhode Island, navigating complex downtown scenarios and transporting thousands of people on their daily commute every week. We are establishing a ground game that will propel us into even larger markets in the future.

Based in Ann Arbor, Michigan, our team develops driverless technology to give people more time to laugh with friends, to solve an interesting problem, or to enjoy the world around them. We’re hiring people who share our passion for building the future, today.

Software @ May Mobility

May Software Engineers are changing how the world moves. Whether they’re writing software to communicate with our vehicles, improving tooling for autonomy, automating cloud infrastructure for our data processing, or creating experiences for customers, our software engineers think with a systems level view towards making autonomous vehicles a reality today.

Our code base is largely built on Python and C, but we also develop in Javascript, Groovy, HTML, and more. We welcome engineers from a variety of backgrounds as long as they are comfortable working in one of our primary languages or are willing to learn. Because safety and reliability are our top priorities, we have a very high bar for software quality, testability, and maintainability.

Software and Data Infrastructure Team

The SDI Team is a key enabler of the May Mobility mission, operationalizing the experience of using autonomous technology for real people on real routes. We leverage automation and DevOps culture to build cloud infrastructure and developer productivity tools at scale. We provide the data backbone of the company, from raw log data on vehicles to consumers with varying needs. We build experiences for internal teams managing the fleet, external customers and passengers. Members of this tight-knit group act as a force multiplier for the company.

Your Opportunity to Drive Success

  • Build state-of-art data distribution, storage and analysis platforms powering experiences for internal and external customers
  • Lead design, manage, and scale our real-time and historical data pipelines to enable our fleet to operate and facilitate continuous development of our system
  • Design data models for optimal storage and retrieval meeting requirements of stakeholders with different needs
  • Define, build, and expand libraries and APIs for managing, searching, and analyzing vehicle datasets with internal and external partners
  • Research, pilot, evangelize and operationalize modern data technologies and industry best practices
  • Mentor and coach junior team members to instill best practices

Required Qualifications:

  • B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree and 7+ years of industry experience
  • Hands-on experience with distributed technology such as Kafka, Spark, Spark Streaming, Storm, Flink, Cassandra
  • Strong working knowledge of data structures and algorithms
  • Mastery of an object oriented programming language, such as C++, Python, or Java
  • Excellent attention to detail and rigorous testing methodology
  • Exceptional written and verbal communication skills and team leading abilities
  • Experience with robotics, automotive engineering, or start-ups is not required
  • Ability to undergo a driving record check

Desirable Qualifications:

  • M.S. Degree in Computer Science, Computer Engineering and 5+ years of industry experience
  • Expertise in Python, C/C++ or Java
  • Experience building and managing large-scale data-processing pipelines in a cloud environment
  • Working knowledge of telemetry systems and real-time data processing

Benefits and Perks

  • Paid health benefits including vision and dental
  • Unlimited paid vacation policy and generous holidays
  • Significant stock options
  • Daily catered lunches and snacks

Organization type

Company  

Headcount

51-200 employees  

Categories

Buildings & Cities, Transportation & Mobility