Senior Software Engineer, Gluten Engine

Introduction

We are seeking highly skilled Senior Engineers to join our team working on the Apache Gluten project, a cutting-edge initiative aimed at enhancing the performance of JVM-based SQL engines like Apache Spark by offloading execution to native engines. This role requires deep expertise in distributed systems, native code development, and familiarity with big data frameworks.

Your role and responsibilities

• Architecture & Development: Design, develop, and optimize the core components of the Apache Gluten project, focusing on the transformation of Spark SQL's physical plans to Substrait plans, and their execution using native libraries like Velox and ClickHouse.

• Performance Optimization: Lead efforts to offload performance-critical data processing tasks from JVM-based SQL engines to native libraries, improving overall query execution efficiency.

• Integration & Support: Work on integrating Gluten with various backends and frameworks, such as Apache Arrow for data format standardization, and extend support for additional backends and file formats.

• Collaboration: Collaborate with other contributors, including those from leading tech companies like Intel and Kyligence, to enhance the project's functionality and ensure robust performance across various environments.

• Documentation & Community Engagement: Contribute to the project's documentation, assist in community engagement, and mentor junior engineers

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• Technical Expertise: Extensive experience in C++, Java/Scala, and native code optimization. Knowledge of Spark SQL internals and experience with native execution engines like Velox is highly desirable.

• Distributed Systems: Strong background in distributed systems and experience with large-scale data processing frameworks.

• Open-Source Contribution: Proven track record of contributing to open-source projects, preferably within the Apache ecosystem.

• Problem Solving: Strong analytical skills with the ability to troubleshoot complex performance issues and provide innovative solutions.

Preferred technical and professional experience

• Experience with the Apache Spark ecosystem and its plugin mechanisms.

• Familiarity with Apache Arrow and Substrait specifications.

• Knowledge of various data formats like Parquet, ORC, and columnar data processing techniques.

• Understanding of JNI (Java Native Interface) and its application in cross-language development.

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OTHER RELEVANT JOB DETAILS

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Client-provided location(s): Dublin, Ireland

Job ID: IBM-58753

Employment Type: OTHER

Posted: 2025-09-18T18:46:40