Systems PhD - Software Engineer

## Responsibilities As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems: - Query compilation & optimization - Distributed query execution and scheduling - Vectorized engine execution - Data security - Resource Management - Transaction coordination - Efficient storage structures (encoding, indexes) - Automatic physical data optimization ## Requirements - PhD in databases or systems - A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization - Motivated by delivering customer value and impact ## Nice to Have N/A ## Benefits Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.