Lead Software Engineer, May Mobility

• 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
• 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
• 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%

Desirable

• 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
• 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