Entry Level Back End Developer 2026

About the Role

IBM is seeking a software developer to join the IBM AI on Z team, responsible for expanding AI efforts on the Z platform. You will develop solutions to realize the potential of IBM Telum series on-chip hardware accelerators and the Spyre AI accelerator for computational workloads including deep learning, scientific computation, and financial transactions. These AI solutions will be deployed on complex enterprise customer systems.

Key Responsibilities

• Develop enterprise-level applications utilizing AI frameworks such as PyTorch and TensorFlow.
• Work with IBM’s research team to develop next-generation solutions for IBM Telum series on-chip hardware accelerators and the Spyre AI accelerator.
• Collaborate with teams developing other components of the AI solution to ensure robustness, high-quality code generation, and suitability for developing programs exploiting compiled models as shared libraries for deep learning and safety-critical execution environments on IBM Z platform (including Linux on Z, LinuxOne, IBM Z Container Extension Platform, and IBM Z/OS operating systems).
• Provide engineering support for the AI on Z solution and deliver changes for production customer releases.
• Establish strong customer/partner relationships and trust through excellent execution and high-quality software development.
• Work with the open-source community to drive and deliver code contributions to lead IBM efforts in AI development.

Requirements & Tech Stack

• BS in Computer Science, Computer Engineering, Data Science/Data Analytics, or related fields (or equivalent experience).
• Basic knowledge of operating systems and how they work.
• Familiarity with Container technologies, Internet Services, and/or Managed Services.
• Strong C, C++, Java, Golang, and/or Python programming skills.
• Experience working with industry-standard C++ compilers and development frameworks.
• Experience with machine-code generation or compiler back-end users.
• Strong software engineering development discipline.
• Proficiency in data structures, algorithms, and the software development cycle.
• Strong interpersonal, verbal, and written communications skills.
• Capability to achieve objectives under tight deadlines.
• Experience executing tasks while managing competing priorities.
• Experience working on and contributing to an active toolchain codebase.
• CI/CD, Jenkins, and Linux are a plus.

Qualifications

• MS degree in Computer Science, Computer Engineering, Data Science/Data Analytics, or related field (preferred).
• Experience in developing enterprise-level applications using AI frameworks (TensorFlow, PyTorch, etc.) (preferred).
• Familiarity working with and ability to develop user-targeted Large Language Models (LLMs) (preferred).
• Knowledge of front-end compiler technology (preferred).
• Experience working with accelerator frameworks e.g. CUDA (Compute Unified Device Architecture) library for Nvidia (preferred).