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: Generalist, 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 role you will lead areas of the GPU execution layer that enables next generation accelerated lakehouse analytics. 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 in Agile Environment: Work collaboratively in an Agile environment to understand stakeholder requirements, aligning solutions with business needs and goals. Required technical and professional expertise Deep Expertise in Software Development & GPU Acceleration: Proven experience designing, developing, testing, and delivering high-quality, scalable software solutions, including implementing and optimizing CUDA-accelerated paths and integrating GPU capabilities into runtime services to drive performance and innovation. GPU Workload Optimization & Enterprise Platform Integration: Experience improving deployment, scheduling, and lifecycle management of GPU workloads, while hardening solutions for enterprise use across OpenShift and IBM environments, ensuring reliability, scalability, and measurable performance gains. Advanced Debugging & Engineering Excellence: Demonstrated expertise in debugging complex software and performance issues, particularly in GPU and distributed systems, with a strong focus on designing, developing, and unit testing robust fixes for customer-reported problems. Agile Delivery & CI/CD Enablement: Strong experience working in Agile environments and contributing to automated CI/CD pipelines, enabling seamless integration, continuous testing, and efficient delivery of high-quality software aligned with business goals. Technical Leadership & Cross-Functional Collaboration: Proven ability to provide technical guidance, mentor teams, and collaborate with platform and benchmarking stakeholders to drive engineering best practices, ensure code quality, and deliver impactful, performance-driven solutions. Preferred technical and professional experience Leading-Edge Technologies & Innovation: Experience designing, developing, and delivering high-quality software solutions using modern and emerging technologies, with a strong focus on innovation, performance, and engineering excellence. Systems-Level Debugging & Development (C++/Linux): Strong proficiency in C++ and Linux-based development, with advanced debugging skills to diagnose and resolve complex issues across software stacks. Hardware-Aware Development & GPU Programming: Experience developing for specialized hardware targets, including GPU programming, with the ability to work effectively across hardware and software boundaries to deliver optimized solutions. Performance Optimization & Cloud-Native Platforms: Proven skills in performance profiling and optimization, combined with familiarity with Kubernetes and OpenShift concepts to support scalable, containerized, and high-performance workloads. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr IBM Computing