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Salary
≈ $21k – $50k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 13, 2026.

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IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress. This position is for an experienced AI Library Developer with strong expertise in AI runtime frameworks and libraries development and optimization. You will be part of the Power System Performance team, focusing on enhancing AI frameworks and libraries to leverage the full capabilities of IBM POWER architecture. Experience tuning for other architectures such as x86 or ARM is also highly relevant. As a developer, you will:

  • Collaborate with internal teams and the open-source community to define, design, develop, and verify on Power-specific features in AI libraries such as OpenBLAS, ONNXRuntime, PyTorch, vLLM,Ollama and Vector Databases, with a focus on CPU kernel development and optimization.
  • Ensure CPU-accelerated features are upstreamed and integrated into mainstream OPensource distributions.
  • Develop and tune CPU kernels to accelerate AI workloads.
  • Perform performance analysis and tuning using POWER instruction profiling tools .
  • Resolve issues and defects including problem recreation, debugging, proposing fixes, validating them, and working with the community to upstream solutions.
  • Support customer-critical situations, lead proof-of-concept implementations, and provide technical guidance for pre-sales and post-sales engagements. This role requires deep understanding of CPU architecture, Linux-based OS environments, and AI workload optimization. Familiarity with software build systems, bring-up, testing, and performance analysis tools is desirable. You will work in a globally distributed team environment. Strong understanding of Computer Architecture, Operating Systems, Compilers, and Runtimes. 3+ years of experience in C/C++ and Python development. 1+ year experience in assembly language and low-level debugging. 1+ year experience in AI workload optimization. Experience with open-source development tools such as Git, JIRA, or Bugzilla. Hands-on experience with AI libraries: OpenBLAS, ONNXRuntime, PyTorch, TensorFlow, Vector DBs. Solid foundation in Linear Algebra, Eigenvalues, and Numerical Computing Experience in low-level programming involving OS interaction, memory management, and threading. Experience in GPU programming (CUDA/OpenCL) and AI workload optimization. Debugging, tracing, and profiling code for performance and functional issues. Familiarity with IBM AIX, Linux on POWER, or Z systems. Contributions to open-source projects or active participation in community mailing lists. Development experience with core libraries such as Glibc, libm, or PMDK. Exposure to compiler technologies (LLVM, MLIR) and graph optimization. India Infrastructure & Technology Hybrid Professional Bangalore, IN (0063) IBM India Private Limited
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