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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Development Engineer - **Company:** Intel Corporation - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $133,410 - $240,710 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, C++ (Programming Language), Profiling, Communication Softwares, Computer Programming, Computer Networks, Computer Engineering, Software Debugging, Linux, Distributed Systems, Middleware, InfiniBand, Linux System Administration, Machine Learning, Open Source Technology, Performance Tuning, Remote Direct Memory Access, Data Driven Tests, Scientific Computating, Software Engineering, Graphics Processing Unit (GPU), High Performance Computing, Computer Network Technologies, Pytorch, DeepSpeed, Concurrency, Information Technology, Low Latency, Free and Open-Source Software - **Published:** November 8, 2026 - **Apply:** https://www.austinjobsite.com/job.asp?id=3505249620&tx=IT8477TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with 3+ years of relevant experience. * Strong software development experience using C/C++. * Experience developing systems software, middleware, runtime software, networking software, or communication libraries. * Hands-on experience diagnosing and optimizing performance, scalability, and reliability in complex distributed systems. * Experience in distributed systems, operating systems, concurrency, networking, and computer architecture. * Experience developing software in Linux environments., * Experience with collective communication frameworks such as oneCCL, MPI, NCCL, RCCL, UCX, OpenSHMEM, or libfabric. * Experience supporting distributed AI training, machine learning infrastructure, or HPC applications. * Experience optimizing communication performance across multiple nodes, GPUs, or accelerators. * Familiarity with RDMA technologies and high-performance networking environments. * Experience developing software for GPU, accelerator, or heterogeneous computing platforms. * Open-source software development experience. * Customer-facing experience troubleshooting complex technical and performance-related challenges. Preferred Technical Skills Experience with several of the following technologies: Programming & Development * C/C++ Linux Communication Libraries & Runtimes * oneCCL * MPI * NCCL * UCX * Libfabric * OpenSHMEM AI & Accelerated Computing * oneAPI * SYCL * PyTorch Distributed * DeepSpeed * Horovod Networking Technologies * RDMA * InfiniBand * RoCE Performance Analysis & Debugging * Intel VTune Profiler * GDB, You are a highly motivated software engineer with a passion for distributed systems, performance optimization, and large-scale computing. You thrive in solving complex technical challenges, collaborating ## Description Join Intel's Communications Runtime team and help build the communication software stack powering the world's largest AI and High-Performance Computing (HPC) workloads. As a Senior AI Software Development Engineer, you will architect, develop, and optimize the oneAPI Collective Communications Library (oneCCL), enabling scalable, high-performance communication across Intel CPU and GPU platforms. In this role, you will solve complex distributed systems challenges spanning collective communication algorithms, communication runtimes, networking technologies, operating systems, and large-scale AI training infrastructure. You will work across the software stack, collaborating with architects, researchers, and engineers to deliver breakthrough performance for AI model training, scientific computing, and next-generation distributed computing workloads. This is a highly visible technical role with opportunities to influence Intel's software roadmap, contribute to open-source communities, and drive innovations that scale across thousands of processors and accelerators. Key Responsibilities * Design, develop, and optimize collective communication algorithms and runtime capabilities within oneCCL. * Improve scalability, latency, bandwidth utilization, resilience, and overall communication performance across distributed systems. * Lead performance optimization initiatives for multi-node and multi-accelerator AI and HPC workloads. * Investigate and resolve complex system-level performance, reliability, and interoperability issues. * Collaborate closely with hardware architects, software engineers, researchers, open-source contributors, and strategic customers. * Contribute to and influence open-source communication and networking technologies. * Drive engineering decisions through data-driven analysis and performance insights., This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.