Mobility to Love, Safety to Live
software development • automated driving • vehicle software platform • smart city
August 29
🔄 Hybrid – Bay Area
Mobility to Love, Safety to Live
software development • automated driving • vehicle software platform • smart city
• Design and implement scalable data pipelines that support the processing and storage of evaluation metrics, enabling both large-scale simulation testing and focused, small-scale scenario evaluations. • Optimize and expand our existing data storage strategy, working towards a more unified architecture while ensuring flexibility for specialized, queryable structures. • Collaborate with our team of engineers to ensure the effective integration of our evaluation framework with other products, ensuring seamless data flow from simulation outputs to end-user dashboards. • Support data science initiatives by architecting solutions that enable efficient and scalable data processing, allowing for exploratory analysis and model development. • Stay current with evolving technologies in data engineering, ensuring that our data infrastructure remains modern and capable of supporting future products.
• 5+ years of experience in data engineering, focusing on building and scaling ETL pipelines. • Proven experience with data storage solutions like DynamoDB, SQL databases, and experience designing data lakes or data warehouse architectures. • Strong programming skills, with a focus on Python and experience in building scalable backend systems using FastAPI or similar frameworks. • Hands-on experience with AWS services, particularly Lambda, Step Functions, and other serverless computing technologies. • Experience with designing systems that support data science workflows and complex querying patterns.
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