Senior Distributed Systems Engineer - CUDA/Java/Scala

Jobtailor; California (MO); On-site; USD 150,000 - 230,000; Full time

Job summary

Jobtailor is seeking a senior software engineer to develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O on Parquet, ORC and JSON formats.

You will collaborate with open source communities and distributed systems teams to optimize performance across platforms, contribute to cuDF, CCCL and UCX, and influence infrastructure, CI and testing strategies to keep us at the cutting edge. The role emphasizes leadership in OSS collaborations and high-performance computing.

Qualifications

• 15+ years of software development experience.
• Strong distributed systems design and implementation skills.
• Excellent C++, Java, and/or Scala programming abilities.
• Ability to collaborate across cross-functional teams.
• Familiarity with OSS data platform ecosystem; contributions welcome.
• Strong interpersonal skills.
• Database query optimization is a strong plus.

Responsibilities

• Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on Parquet, ORC and JSON.
• Enable interoperability with Iceberg and Delta Lake, and metastores like Unity Catalog.
• Contribute to open source projects such as cuDF, CCCL and UCX.
• Collaborate with distributed systems teams to address large-scale distributed processing challenges.
• Provide feedback on infrastructure, CI and testing strategies.
• Build, test and optimize CUDA/C++ libraries across platforms.

Skills

Java

Scala

CUDA/C++

Distributed systems

C++

Open source contributions

Education

BS/MS/PhD in Computer Science/Computer Engineering or related field

Tools

Apache Spark

Iceberg

Delta Lake

Unity Catalog

cuDF

CCCL

UCX

Job description

Jobtailor is seeking a senior software engineer to develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O on Parquet, ORC and JSON formats.

You will collaborate with open source communities and distributed systems teams to optimize performance across platforms, contribute to cuDF, CCCL and UCX, and influence infrastructure, CI and testing strategies to keep us at the cutting edge. The role emphasizes leadership in OSS collaborations and high-performance computing.