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    Backend Engineer - Toronto, ON, Canada - d-Matrix

    d-Matrix
    d-Matrix Toronto, ON, Canada

    2 weeks ago

    Default job background
    Description
    d-Matrix has fundamentally changed the physics of memory-compute integration with our digital in-memory compute (DIMC) engine. The "holy grail" of AI compute has been to break through the memory wall to minimize data movements.

    Having secured over $154M, $110M in our Series B offering, d-Matrix is poised to advance Large Language Models to scale Generative inference acceleration with our chiplets and In-Memory compute approach.

    We are on track to deliver our first commercial product in 2024. We are poised to meet the energy and performance demands of these Large Language Models. Our pedigree comes from companies like Microsoft, Broadcom, Inphi, Intel, Texas Instruments, Lucent, MIPS and Wave Computing.

    Our past successes include building chips for all the cloud hyperscalers globally - Amazon, Facebook, Google, Microsoft, Alibaba, Tencent along with enterprise and mobile operators like China Mobile, Cisco, Nokia, Ciena, Reliance Jio, Verizon, AT&AT.

    Hybrid, working onsite at our Toronto, Ontario headquarters 3 days per week.

    The d-Matrix compiler team is looking for exceptional candidates to help develop the compiler backend - specifically the problem of assigning hardware resources in a spatial architecture to execute low level instructions.

    The successful candidate will be motivated, capable of solving algorithmic compiler problems and interested in learning intricate details of the underlining hardware and software architectures.

    Model partitioning (pipelined, tensor, model and data parallelism), tiling, resource allocation, memory management, scheduling and optimization (for latency, bandwidth and throughput).

    Bachelor's degree in relevant field.
    Ability to deliver production quality code in modern C++.

    Experience in machine learning frameworks and interfaces, for example: Algorithm design ability, from high level conceptual design to actual implementation.

    Experience with relevant Open Source ML projects like Torch-MLIR, ONNX-MLIR, Caffe, TVM.
    Passionate about thriving in a fast-paced and dynamic startup culture.
    Equal Opportunity Employment Policy
    We're committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work.

    We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.

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