CUDA/GPU Developer

Introduction

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities

As a Software Developer: You will design, develop, test, and deliver offerings using leading-edge and/or proven technologies. You will work in an Agile, collaborative environment to understand stakeholder requirements and contribute to the development of innovative software solutions.

In this specific role, you will get to work on the GPU operator layer that enables accelerated analytics on GPU-accelerated lakehouse. You will help integrate GPU-aware execution into platform components and operators, with deep attention to kernel behavior, runtime efficiency, and productization on OpenShift.

Your Primary Responsibilities Will Include

• Develop Component-Level Solutions: Design, code, and test innovative component-level software solutions, ensuring that the implemented solutions are unit tested and ready to be integrated into their product.
• Contribute to CI/CD Pipeline: Contribute to the automated CI/CD pipeline that takes code through various quality stages, ensuring seamless integration and delivery.
• Debug Customer-Reported Problems: Design, develop, and unit test code fixes for customer-reported problems, collaborating with stakeholders to resolve issues efficiently.
• Deliver Offerings: Deliver high-quality offerings using leading-edge and/or proven technologies, meeting stakeholder requirements and expectations.
• Collaborate with Stakeholders: Work in an Agile, collaborative environment to understand stakeholder requirements, providing input and guidance to ensure successful solution delivery.
  
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Software Development & GPU-Aware Engineering: Experience designing, developing, testing, and delivering high-quality software solutions using leading-edge and proven technologies, including development for specific hardware targets and GPU programming to enable optimized performance.
• Systems-Level Debugging & Performance Optimization: Strong C and Linux debugging skills, with hands-on experience in performance profiling and optimization to identify bottlenecks and deliver efficient, reliable solutions.
• Component-Level Design & Problem Solving: Proven ability to design, code, and test component-level software solutions, ensuring unit testing and integration readiness, along with resolving complex software issues through effective debugging and collaboration.
• Agile Development & CI/CD Enablement: Experience working in Agile, collaborative environments and contributing to CI/CD pipelines, enabling continuous integration, testing, and delivery of high-quality software aligned with stakeholder requirements.
• Cross-Stack Development & Cloud-Native Familiarity: Ability to work across hardware and software boundaries, with familiarity in Kubernetes and OpenShift concepts to support scalable, containerized application deployment.
  
  

Preferred Technical And Professional Experience

• CUDA & GPU Data Processing Expertise: Hands-on experience with CUDA development and familiarity with GPU-accelerated data frameworks such as RAPIDS/cuDF, enabling high-performance data processing and analytics solutions.
• Performance Benchmarking & Observability: Experience with benchmarking and telemetry instrumentation to measure, analyze, and optimize system performance, driving data-informed improvements in efficiency and scalability.
• Leading-Edge Technologies & Engineering Practices: Experience designing, developing, and delivering software solutions using modern technologies across back-end and front-end layers, with exposure to DevOps practices supporting end-to-end solution delivery.