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    Compiler Engineer - San Francisco, United States - Untether AI

    Untether AI
    Untether AI San Francisco, United States

    1 day ago

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    Description

    Please note:

    While our engineering HQ is in Toronto, this is a remote opportunity and we welcome applicants from anywhere in North America.


    Untether AI is building the world's highest performance pure-digital AI inference startup.

    We're a rapidly growing Toronto-based startup, with employees across Canada and the US, building next generation hardware AI accelerators for neural net inference.

    We are investing in software in a big way in order to make it as seamless as possible for researchers and developers to successfully deploy neural networks on our hardware.

    We're looking for best in class engineers to join our existing top-notch team.

    When you join Untether AI, you will be part of a team that designs, develops and verifies the software that interacts with our chip, collaborating with our hardware engineers and with fellow software engineers in the process.

    By creating software that fully realizes the capabilities of the hardware, you will help get AI inference to the general populace.

    As part of this exceptional team, you are able to - and get excited by - identifying functional/performance bottlenecks and how to alleviate them in order to achieve scalable and reliable software.

    You excel in an environment with complex software and hardware designs.
    We are looking for an experienced Compiler Engineer.

    Our Compiler Engineers write software that translates a wide variety of neural nets into efficient mappings and fast implementations on our accelerator hardware, from data-in to data-out.

    Responsibilities

    Build software that maps a neural net onto our hardware
    Devise and implement multiple data layout strategies
    Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies
    Implement efficient mappings between data layouts
    Evaluate current and proposed hardware architecture for future products
    Work closely with algorithm design and architecture teams
    Preferred Skills & Experience

    Computer Science, Engineering or related degree, preferably MS or PhD
    2+ years of related experience
    Thorough understanding of deep neural nets
    Experience developing the internals of modern optimizing compilers
    Understanding of advanced optimization techniques
    What are some of the perks that you will receive being part of Untether AI?

    Aligned to Untether's philosophy, our employees enjoy the same perks, regardless of role or level


    In part, these include:
    20 vacation days
    Strong health and extended health benefits
    Unlimited sick days
    Stock options
    Building chips and software that will change the world
    Thinking about applying?

    We're a pretty welcoming bunch of people.

    If we've piqued your interest, you're passionate about the same things we are but you aren't sure if you check all the boxes, please apply anyway.

    We're a great place to work, an even better place to learn and we focus on both capability and potential

    Besides being a pretty friendly group, we're also pretty diverse - ethnically, experientially and in our physical and mental abilities.

    If you are someone who needs accommodation during the interview process and/or in the workplace, please send a note along with your resume to

    and we'll be in touch.
    A little bit more about Untether AI

    Untether AI has developed a groundbreaking new architecture that brings neural net inference to new levels of performance and efficiency.

    We've already sold our product to smart clients who want to get in at ground zero.

    We've done this while continuing to improve our technology creating ultra-efficient, high performance AI chips that eliminates the data movement bottleneck that costs energy and performance in traditional architectures.

    We're a team made up of scientists, engineers and entrepreneurs and have the support of tier one investors. Join us to be part of something big - a chance to create the future of AI.

    #J-18808-Ljbffr
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