Job Description
A Senior Software Engineer responsible for scaling and improving the reliability of Gridmatic's data infrastructure to support large-scale machine learning models for energy price forecasting and grid optimization.
Key Responsibilities
- Scale and improve the reliability of data infrastructure for large-scale ML models
- Ingest and manage petabyte-scale weather, price, load, and grid data
- Enhance data pipelines to handle external data source issues such as downtime, late arrivals, and schema changes
Requirements
- Experience in scaling and improving the reliability of data infrastructure, including handling large-scale data ingestion, processing, and storage systems.
- Ability to scale data usage in machine learning models by a factor of 10-100x, incorporating petabyte-scale weather data and increasing spatial granularity of price forecasting.
- Proficiency in addressing real-world data pipeline challenges such as downtime, late-arriving data, and changing schemas, and improving the reliability of data pipelines.
- Strong understanding of data platform architecture and engineering principles relevant to high-growth startup environments.
- Experience with data ingestion from external sources and managing data quality issues.
- Ability to work collaboratively in a hybrid work environment, with a willingness to work in the Cupertino office 3 days a week.
Benefits & Perks
Hybrid work policy requiring 3 days per week in the Cupertino office
Opportunity to work on complex real-world problems involving large-scale data challenges
Collaborative, low-ego work environment with an emphasis on rigorous thinking, autonomy, and continuous learning
Ready to Apply?
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