Senior Cloud Software Development Engineer

#
** Welcome!**## .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
** Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability
** Cross-Functional Collaboration & Requirements** - Collaborate with cross-functional teams to define software requirements and technical specifications
** Core Competencies**- Outstanding analytical and problem-solving skills
- Excellent communication skills for technical collaboration

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  requirements and are considered a plus factor in
** Minimum Qualifications*
* * 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)
** Preferred Qualifications**- Experience developing performance optimizations that measurably improve communications latency or throughput
- Experience debugging complex problems across different layers of hardware and software stack

- 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*
* #J-18808-Ljbffr