IBM Software Developer 

United States, New York, City of Poughkeepsie 

782405772

What You’ll Be Doing

• Developing and utilizing AI frameworks such as PyTorch and TensorFlow in enterprise level applications.
• Working with IBM’s research team to develop next generation solutions for IBMs Telum series of on-chip hardware accelerators and the Spyre AI accelerator.
• Collaborate closely with teams developing other components of the AI solution in ensuring robustness, high-quality code generation and suitability for developing programs exploiting compiled models as shared libraries used in deep learning and safety-critical execution environments on IBM Z platform for 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 targeted 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.

Required Technical and Professional Expertise

• BS in Computer Science, Computer Engineering, Data Science/Data Analytics, or related field (or equivalent experience) plus 5+ years of professional experience in developing AI frameworks (TensorFlow, PyTorch, etc.) with enterprise-level applications.
• Must have strong C, C++, and Python programming skills.
• Familiarity working with and ability to develop user targeted Large Language Models (LLMs).
• 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.
• Experience with CI/CD, Jenkins, Linux a plus.

Preferred Technical and Professional Expertise

• MS/PhD degree in Computer Science, Computer Engineering, Data Science/Data Analytics, or related field.
• Knowledge of compiler front-end technology.
• Experience working with accelerator frameworks e.g. CUDA (Compute Unified Device Architecture) library for Nvidia.