Education: Bachelor's degree or related field
Experience: 5+ years
- Develop CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON
- Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale
- Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions
- Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy
- 5+ years hands on experience with data platform development
- BS/MS/PhD in computer science or a related field (or equivalent experience)
- Familiarity with the open source data platform ecosystem is a plus (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.)
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Applications for this job will be accepted at least until July 14, 2026.
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