NVIDIA is seeking a Sr. Systems Software Engineer for the Apache Spark Acceleration group, focusing on GPU accelerated data processing. The role involves developing open source plugins to enhance Spark applications on GPUs. The team aims to reduce cloud computing costs and improve latency for large data processing needs. Candidates will work in a diverse environment, contributing to innovative solutions in the field of accelerated computing.

• 9+ years of experience in software development
• 5+ years of hands-on experience with data platform development
• BS/MS/PhD in computer science or a related field or equivalent experience
• Proficiency in C++, Java, and Scala
• Experience supporting enterprise customers
• Familiarity with the open source data platform ecosystem is a plus
• Experience using AI tools in software development

• 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 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 regarding infrastructure, continuous integration, and testing strategy
• Build, test, and optimize across different platforms

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.