Senior AI Software Development Engineer

Intel Corporation•Austin, TX

1d•$133,410 - $240,710•Hybrid

About The Position

Join Intel's Communications Runtime team to build communication software for large-scale AI and high-performance computing workloads. The Senior AI Software Development Engineer will architect, develop, and optimize the oneAPI Collective Communications Library (oneCCL), enabling scalable, high-performance communication across Intel CPU and GPU platforms. The role addresses distributed systems challenges involving collective communication algorithms, communication runtimes, networking technologies, operating systems, and large-scale AI training infrastructure. The engineer will work across the software stack with architects, researchers, and engineers to improve performance for AI model training, scientific computing, and distributed computing workloads. This visible technical role also offers opportunities to influence Intel's software roadmap, contribute to open-source communities, and develop solutions that scale across thousands of processors and accelerators.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with at least 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.

Nice To Haves

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.
Experience with technologies including C/C++, Linux, oneCCL, MPI, NCCL, UCX, Libfabric, OpenSHMEM, oneAPI, SYCL, PyTorch Distributed, DeepSpeed, Horovod, RDMA, InfiniBand, RoCE, Intel VTune Profiler, and GDB.

Responsibilities

Design, develop, and optimize collective communication algorithms and runtime capabilities within oneCCL.
Improve scalability, latency, bandwidth utilization, resilience, and 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 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.