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    Sr. Software Engineer - Boston, United States - Lightmatter

    Lightmatter
    Lightmatter Boston, United States

    3 weeks ago

    Default job background
    Description

    Sr. Software Engineer - Networking and HPC (High Performance Computing)

    Lightmatter builds processors and network fabrics for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. Our interconnect fabric leverages the same unique photonic properties for fast, high-bandwidth and low-power data transfer.

    If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter

    In this role, you will define and implement the foundation of the systems software stack for our photonic interconnect. You will work with hardware and architecture teams to co-design protocols for low-latency and high-bandwidth data transfers. You will also work closely with adjacent software teams to build libraries of communication primitives for Machine Learning.

    *We are open to hiring a candidate in the Boston, MA or Mountain View, CA areas for this role.

    Responsibilities

    • Define the SW architecture for Lightmatter's products based on the Passage Interconnect.
    • Define the requirements for Data Link, Network and Transport Layers for Optical Interconnect products.
    • Design and Implement control and telemetry APIs for Passage based systems.
    • BS +12 years of experience, or MS +8 years of experience, or PhD +5 years of experience
    • In-depth understanding of the OSI model and network architecture and experience in the implementation of one or more data-link/network/transport layer instances
    • Working knowledge of C, C++, Python
    • Implementation experience with high performance networking libraries and/or languages (MPI, NCCL or other collective communications libraries, UCX, Chapel or other PGAS languages, InfiniBand, etc.)

    Preferred Qualifications

    • Experience with high performance parallel numerical libraries
    • GPU programming experience
    • Performance tuning and benchmarking experience
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