Design, build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems
Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs
Work closely with other Data Infrastructure engineers, Site Reliability engineers, ML Platform engineers, Computer Vision and ML engineers on high-impact projects to create innovative solutions to problems in the self-drive space
Mentor junior engineers in their day to day work and drive best practices across the organization
Contribute to the long term strategy for several of our systems and products
Requirements
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
5+ years of experience with data structures/algorithms and professional software engineering in one or more programming languages (e.g., Python, Go, Java)
3+ years designing and building data-intensive, concurrent, scalable applications
3+ years of experience with data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases
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