Software Engineer developing tooling for metrics frameworks to monitor data quality of autonomous vehicle testing. Collaborating with teams to support data-driven decision-making and improve testing performance.
Responsibilities
Lead the design, implementation, and roadmap development for tooling that monitors data quality from various sources (simulation, road, etc.) and empowers users to debug data issues and build quantitative analysis pipelines.
Accelerate the team’s effectiveness by designing and implementing scalable automation tools for inspecting data ingestion, processing, inspection, debugging, and performance monitoring.
Build and optimize data processing pipelines to handle large volumes of testing data, enabling low-latency insights for AV testing performance.
Collaborate with other frameworks and data infra teams to build and deploy tools that improve developer productivity and data reliability.
Work closely with autonomous vehicle engineering teams to enable rapid iteration, model feedback, and metrics-driven decision-making.
Maintain a high technical bar for code quality and system design through architectural and code reviews.
Requirements
Experience with writing Python in a production environment
Experience with OLAP databases and SQL related technologies (e.g., Big Query, Databricks, DuckDB, etc)
Experience with data orchestration and transformation tools like Airflow, DBT, etc
Experience developing scalable software and data solutions used by many developers and stakeholders and capable of processing petabytes of data
Experience with time-series data analysis and online performance monitoring tools
Experience developing automation scripts (Python and Bash scripts)
BS in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering
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