Senior Systems Software Engineer: CUDA Spark Acceleration

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA, is seeking a Senior System Software Engineer to advance the Apache Spark acceleration group. You will implement native C++ execution of Spark operations on CUDA, and develop CUDA/C++ libraries to speed DataFrames and I/O on Parquet, ORC and JSON.

Collaborate with distributed systems teams, engage with open source communities (RAPIDS, CCCL, UCX), and influence CI/testing strategy.

Qualifications

• 9+ years of software development experience.
• 5+ years hands-on experience with data platform development.
• BS/MS/PhD in computer science or a related field (or equivalent).
• Proficiency in C++, Java, and Scala.
• Experience supporting enterprise customers and open source ecosystems.

Responsibilities

• Enable C++ native execution of Spark operations on CUDA.
• Develop CUDA/C++ libraries to accelerate DataFrames and I/O on Parquet, ORC and JSON.
• Collaborate with distributed systems teams on large-scale solutions.
• Engage with open source communities to improve RAPIDS, CCCL and UCX.
• Contribute feedback on infrastructure, CI and testing strategies.

Skills

C++

Java

Scala

Education

BS/MS/PhD in Computer Science or related field

Tools

CUDA

Apache Spark

RAPIDS

Job description

NVIDIA Corporation in Santa Clara, CA, is seeking a Senior System Software Engineer to advance the Apache Spark acceleration group. You will implement native C++ execution of Spark operations on CUDA, and develop CUDA/C++ libraries to speed DataFrames and I/O on Parquet, ORC and JSON.

Collaborate with distributed systems teams, engage with open source communities (RAPIDS, CCCL, UCX), and influence CI/testing strategy.