Description
NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group. The successful candidate will enable C++ native execution of Spark operations on CUDA, develop CUDA/C++ libraries to accelerate DataFrames and I/O operations, and collaborate with distributed systems teams.
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 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.)
- Experience using AI tools in software development
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-System-Software-Engineer_JR2011624