Principal Systems Software Engineer

<div><h3>Responsibilities</h3> <ul> <li>Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON</li> <li>Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog</li> <li>Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions</li> <li>Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale</li> <li>Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy</li> <li>Build, test and optimize CUDA/C++ libraries across different platforms</li> </ul> <h3>Requirements</h3> <ul> <li>BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)</li> <li>15+ years of work experience in software development</li> <li>Outstanding technical skills in designing and implementing high-quality distributed systems</li> <li>Excellent programming skills in C++, Java, and/or Scala</li> <li>Ability to work with teams across organizational boundaries and geographies</li> <li>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.</li> <li>Highly motivated with strong interpersonal skills</li> <li>Database query optimization is a strong plus</li> </ul> <h3>Core Competencies</h3> <p>Demonstrates expertise in developing high-quality distributed systems using Java, Scala, and CUDA/C++. Proficient in optimizing libraries for data processing and contributing to open source projects within the data platform ecosystem.</p></div> #J-18808-Ljbffr