Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide.
Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs.
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IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.
IBM is seeking a highly motivated software developer to join the dynamic and innovative IBM AI on Z team. This team is responsible for expanding the support of AI efforts on the Z platform. As a member of this team, you will develop solutions to better realize the potential of the IBM Telum series of on-chip hardware accelerators and the Spyre AI accelerator for a growing range of computational workloads, ranging from deep learning, scientific computation, and financial transactions. The AI solutions you develop will be deployed on some of the most complex customer systems. You will be solving challenging problems working alongside some of the top valued diverse minds in AI and Machine Learning (ML) technology and dedicated hardware AI accelerators. If this sounds like a fun challenge, and you are interested, please let us know.
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.