Senior Cloud Software Development Engineer

About This Role

• Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's communication libraries including Intel SHMEM (Shared Memory Access), Intel MPI (Message Passing Interface), MPICH (Message Passing Interface Chameleon), and Intel oneCCL (Collective Communications Library) .
• This role has a primary focus on development for oneCCL , and there are opportunities to contribute to these other communication libraries.
• This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities.
• Key Responsibilities Communication Library Development Design, develop, and maintain advanced features and performance optimizations for oneCCL , with potential to contribute to Intel SHMEM, Intel MPI and MPICH libraries.
• Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability Implement and enhance communication protocols across multiple layers of the communications stack Cross-Functional Collaboration & Requirements Collaborate with cross-functional teams to define software requirements and technical specifications Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations Partner with hardware teams to optimize software-hardware integration for maximum performance Performance Optimization & Analysis Develop performance optimizations that improve communication latency and throughput Conduct comprehensive performance analysis and benchmarking across different system configurations Debug complex problems spanning multiple layers of hardware and software stack What You'll Work On Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's most advanced supercomputers Cutting-Edge Hardware: Latest Intel GPUs and CPUs designed for data center and HPC applications Impact: Meaningful contributions to scientific computing breakthroughs and machine learning advancement Innovation: Development of next-generation communication libraries and optimization techniques Core Competencies Self-driven with high motivation to learn emerging technologies Outstanding analytical and problem-solving skills Excellent communication skills for technical collaboration Understanding of multiple levels of communications stack architecture Qualifications: Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research.
• The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates Minimum Qualifications Master's degree in Computer Science, Computer Engineering or in a STEM related field of Study 3+ years of software development experience 3+ years of Linux environment development experience 3+ years of C and C++ programming experience Experience with multithreaded programming and parallel computing concepts Specialized Experience (At least one required) Distributed computing systems and architectures HPC (High-Performance Computing) communications libraries Collective communications libraries (MPI, oneCCL/NCCL, or SHMEM) GPU software development and optimization Network communications stack development (one or more layers) Preferred Qualifications Ph.D. degree in Computer Science, Computer Engineering or in a STEM related field of Study Experience developing performance optimizations that measurably improve communications latency or throughput Experience debugging complex problems across different layers of hardware and software stack Deep understanding of high-performance computing architectures and optimization techniques Experience with Intel GPU and CPU architectures and their optimization characteristics Knowledge of supercomputing environments and large-scale distributed systems Familiarity with scientific computing and machine learning communication patterns What We Offer Opportunity to work on world-class supercomputing and HPC technologies Direct impact on scientific research and machine learning advancement Collaboration with leading researchers and engineers in high-performance computing Access to cutting-edge Intel hardware and advanced development tools Professional development in emerging HPC and communication technologies Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations: US, Texas, Austin Business group: The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services.
• The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs.
• The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments.
• The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
• It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
• Find out more about the benefits of working at Intel .
• Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
• Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.