Senior Cloud Software Development Engineer

Job Details

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.

• 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

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

• Master s degree in Computer Science, Computer Engineering or in a STEM related field of Study
• 3+ yearsof software development experience
• 3+ yearsof Linux environment development experience
• 3+ yearsof 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)

• Ph.D. degreein 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…