Education: Bachelor's degree or related field
- Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON
- Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog
- Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions
- Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale
- Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy
- Build, test and optimize CUDA/C++ libraries across different platforms
- BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)
- Outstanding technical skills in designing and implementing high-quality distributed systems
- Ability to work with teams across organizational boundaries and geographies
- Familiarity with the open source data platform ecosystem (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.). Meaningful contributions to the OSS community a plus.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
Applications for this job will be accepted at least until July 19, 2026.
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