Lead Data Engineer

May Mobility

Finance

201-500

Ann Arbor, MI, USA

About the job

Overview:

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.
Your Opportunity to Drive Success

Build state-of-art data distribution, storage, and analysis platforms powering experiences for internal and external customers
Participate in design, management, and scaling of our real-time and historical data pipelines, and its underlying infrastructure, 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
Effectively work on a small, fully-empowered team with peer and junior team engineers and provide guidance and best practices

Required Qualifications:

B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree and 5+ 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
Experience mentoring and guiding junior engineers
Ability to undergo a driving record check

Desirable Qualifications:

M.S. Degree in Computer Science, Computer Engineering and 3+ years of industry experience
Experience building and managing large-scale data-processing pipelines in a cloud environment
Experience with build and deployment tools such as Jenkins, Gitlab CI, Docker
Experience managing cloud infrastructure as code, such as kubernetes, helm, or terraform
Working knowledge of telemetry systems and real-time data processing

Physical Requirements

Standard office working conditions which includes but is not limited to:

Prolonged sitting
Prolonged standing
Prolonged computer use
Lift up to 50 pounds


Remote role based out of Ann Arbor, MI.

Remote employees work primarily from home or an alternative work space.


Travel requirements - 0%

The salary range provided is based on a position located in the state of Michigan.  Our salary ranges can vary across different locations in the United States.