Senior Systems Software Engineer developing CUDA/C++ libraries for Apache Spark acceleration. Collaborating with teams and open source communities for distributed processing solutions.
Responsibilities
Enable C++ native execution of Spark operations on CUDA
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
Build, test and optimize across different platforms
Requirements
9+ years of experience in software development
5+ years hands on experience with data platform development
BS/MS/PhD in computer science or a related field (or equivalent experience)
Proficiency in C++, Java, Scala
Experience supporting enterprise customers
Familiarity with the open source data platform ecosystem is a plus (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.)
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