Autonomy Data at May

May’s fleet of vehicles generate terabytes of data per vehicle per day, streamed during operations and offloaded during downtime. The Autonomy Data department has two primary responsibilities: defining and curating metrics for engineering and business stakeholders, and providing the infrastructure necessary to ingest, transform, store, and provide access to the datasets necessary to compute those metrics.

We are looking for a detail and results-oriented senior engineer to join our team that provides data infrastructure throughout our engineering and operations orgs. We envision a performant and commercially scalable data platform that enables data scientists, robotics engineers, and non-technical users to make data-driven decisions about what problems to solve next and measure their impact. 

Build new data pipelines starting from the vehicle, reduce the time it takes to get impactful metrics, create automated infrastructure to accelerate engineers on their path to creating new metrics, create infrastructure to observer and measure the data flowing through our pipelines, reduce unit per vehicle necessary to operate a site, create web interfaces (UIs and APIs) to provide stakeholders with methods to access and explore our data. These are the kinds of problems you would be solving as part of our team.

Experience with robotics, automotive engineering, or the autonomous vehicles industry is not required! We value engineers from a diverse set of industry backgrounds, and your ability to solve difficult problems in a timely manner is what we’re after.

Your Opportunities to Drive Success

• Realize our vision of a performant and commercially scalable data platform
• 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 the needs of engineering and business stakeholders
• Define, build, and expand libraries and APIs for managing, searching, and analyzing vehicle datasets with internal and external partners
• Partner with technical and non-technical roles to understand their needs and deliver impactful solutions to their problems
• 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 3 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 mentoring and guiding junior engineers
• Ability to undergo a driving record check

Desirable Qualifications:

• M.S. Degree in Computer Science, Computer Engineering and 5 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 with front-end frameworks and plotting libraries such as React and plotly
• Experience managing cloud infrastructure as code, such as kubernetes, helm, or terraform
• Working knowledge of telemetry systems and real-time data processing
• Track record of delivering impactful products and realizing a product vision

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

• Hybrid role based out of Ann Arbor, MI.
• Hybrid employees work remotely from their home or alternative work space as well as from one of our offices or sites at an agreed upon cadence set by their leader and based on the nature of their role. _ number of days per week/month or as otherwise agreed to with manager (job function- job dependent) 2 to 3 days per week or 8 days per month in office.  Weekly 1-4 days per week 
• Travel requirements - less than 10%