Lead Software Engineer, Data Platform

Lead Software Engineer, Data Platform

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.

Job Summary

The Data Platform team is responsible for ingesting and indexing data from all over our company and its operations, dominated by the data collected by our vehicles during autonomous vehicle development and delivery. We are building global, hybrid, and resilient data pipelines to close deep learning loops and supercharge development.

Essential Responsibilities

• Build and own global data pipelines collecting data from our vehicles and business operations to empower and scale our ability to deliver autonomous driving products
• Apply modern streaming and distributed architectures to reduce dependency on legacy batch operations
• Make these data pipelines simple to deploy and operate, using modern declarative practices and state of the art observability tooling
• Blend on-premises and cloud-based architectures that can adapt to multiple regions around the world as we expand our global presence, while balancing performance with expense
• Collaborate with machine learning teams to empower them to achieve their goals, curating, indexing, and automating management of datasets
• Work with autonomy teams to continuously improve how we write, transform, and aggregate data on the vehicle at the edge to make sure we can extract the most important data as we scale
• Demonstrate best practices of cloud software architectures and set technical standards for others throughout the organization to follow
• Integrate systems with third parties to facilitate bi-directional data sharing with our partners
• Participate in an on-call rotation for critical services
• And any additional tasks as required by your manager

Skills and Abilities

Success in this role typically requires the following competencies:

• Ability to undergo a driving record check
• Clear written communication and the ability to align folks on a plan before executing
• Excellent attention to detail and rigorous testing methodology
• Identify complex problems and devise optimal and innovative solutions that often cross organizational boundaries.
• Bias for action and an intense customer focus
• Ability to mentor staff of various skills and personalities

Qualifications and Experience

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

Required

• B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree
• 10+ years of relevant work experience with software and data engineering
• Hands-on experience with distributed systems and databases such as Kafka, NATS, Spark, RDS/Postgres, Kafka Streams/Flink, and OLAP/Druid/Clickhouse
• 5+ years of experience creating solutions with large datasets at scale
• Experience with containerization technologies (docker and kubernetes)
• Strong working knowledge of data structures and algorithms
• Proficiency in multiple professional software languages such as C/C++, Rust, Python, and Java

Desirable

• M.S. Degree in Computer Science, Computer Engineering and 10+ years of industry experience
• Demonstrated experience with modern AWS data and ML solutions such as S3, EMR, Athena, Kinesis, Glue, Sagemaker, Dynamo, and Redshift
• 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
• Travel required? - Minimal: 1%-10%

Benefits and Perks

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing

Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Salary Range $208,000 - $272,000 USD