Hewlett Packard Enterprise · 3 hours ago

AI/HPC Networking Software Engineer

San Jose, CA

Full-time

Remote

Mid Level

$103K/yr - $237K/yr

3+ years exp

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Responsibilities

Engage and work with the GPU/CPU vendors, customers, AI ISV and open-source SW communities to validate, tune, and enable high performance AI applications on the Slingshot Ethernet fabric.

Work on partner engagements for the leading communication libraries, middleware and frameworks used in AI development today (NCCL, RCCL, UCX, OneCCL. Pytorch, etc.).

Design, implement and maintain system software that enables communication between GPUS, CPUs, and storage in scale out AI and HPC systems. Work with all the leading architectures and vendors in the AI and Data Center markets – Nvidia, AMD, Intel.

Work with the OEM, ODM, and VAR channels vendors on bring Slingshot to a broader set of customers. Validate and tune applications driving those engagements.

Develop and own HPE product usage support, upstreaming and community engagements, and internal testing and infrastructure.

Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML networking softwareHigh Performance ComputingC/C++ programmingPython programmingNetworking architectureGPU architectureNvidia GPU infrastructureAMD GPU infrastructurePerformance analysisTuningDeploymentEthernet technologyInfiniBand technologyUser-based networkingOFI libfabric APIsCloud ArchitecturesDevOpsDistributed ComputingMicroservices FluencyFull Stack DevelopmentSecurity-First MindsetSolutions DesignTesting & AutomationUser Experience (UX)

Required

Bachelor’s/master's degree in computer science, engineering, or related field

3+ years of relevant experience with software development and/or architecture in the Data Center, university, government lab, or AI-centric environments.

Familiarity with AI/ML networking software development with an emphasis on performance analysis, tuning, and deployment in a scale-out compute cluster environment

Ability to participate and own pieces of the product release pipeline up to and including package integration and support.

Understanding of networking architecture and communications including Ethernet and InfiniBand networking technologies

Understanding of computer architecture, and familiarity with the fundamentals of GPU architecture. Experience with Nvidia and AMD GPU infrastructure and software stacks.

Programming and debugging skills in C, C++ and or Python. Ability to understand how applications and industry middleware/libraries work in Slingshot enabled systems and identify strategies and ideas for allowing these applications to work to customer expectations.

Knowledge of user-based networking and OFI libfabric software interfaces and APIs.