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    Senior Principal Software Engineer - Austin, United States - SambaNova Systems

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    Description

    The third era of AI has arrived, powered by Generative AI. Generative AI is achieving step-function increases in scale, versatility, and accuracy compared to legacy AI technologies, presenting an opportunity for organizations to fundamentally transform their business and operations.

    SambaNova SuiteTM is enabling organizations and enterprises to achieve the transformative promise of these new AI technologies with a fully integrated hardware-software system that delivers innovation across the full AI stack, including the most accurate generative AI models, optimized for enterprise and government. This creates the AI backbone for the next 10 years and beyond.

    Working at SambaNova

    The Senior Principal Software Engineer, Compiler will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. In this critical role you will be responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art Machine Learning model performance on the SambaNova platform. This can involve anything from digging through PyTorch and machine learning models to determining how to map operations onto our underlying hardware. At SambaNova you will have the opportunity to shape the future of AI and Machine Learning through the development of software and hardware that are driving tremendous change across the industry.

    Responsibilities

    • Lead compiler engineering by ensuring that best practices are developed and adopted
    • Coordinate with different engineering teams to ensure that strong architectural solutions are developed that allow SambaNova to differentiate its product offerings
    • Collaborate with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions
    • Provide support for proposals in key areas aligned with core team competencies
    • Mentor and develop the next generation of technical leaders at SambaNova
    • Unlock the productivity and velocity of the engineering teams by ensuring we are focusing on the right problems and solutions

    Basic Qualifications

    • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or equivalent
    • 10+ years of industry experience

    Additional Qualifications

    • Deep understanding of compiler fundamentals
    • Experience building and deploying enterprise software products
    • Experience with common compiler development practices and methodologies
    • Excitement about high-performance systems engineering and performance debugging
    • An appreciation for process and developing cross-disciplinary collaboration

    Preferred Qualifications

    • Experience with Machine Learning models and one or more deep learning frameworks (e.g. TensorFlow, PyTorch)
    • Experience with MLIR
    • Familiarity with accelerated computing
    • Exposure to dataflow architectures

    Annual Salary Range and Level

    The base salary for this position ranges from $180,000/year up to $230,000/year. This range is based on role, level, and location and reflects the salary target for new hires in the US. Individual pay within the range will depend on a number of factors, including a candidate's job-related qualifications, skills, competencies and experience, and location.

    Benefits Summary

    SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 80% premium coverage for dependents and offer a Health Savings Account(HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans in addition to Flexible Spending Account(FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits includes a full subscription to Headspace, access to One Medical, counseling services with an Employee Assistance Program, and much more.

    LI-SB1


    #LI-Remote

    Submission Guidelines

    Please note that in order to be considered an applicant for any position at SambaNova Systems you must submit an application form for each position for which you believe you are qualified.

    If you are a new, recent (within the last two years), or upcoming college graduate and are interested in opportunities with SambaNova Systems, please apply through our University job listings.

    EEO Policy

    SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

    Customers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, SambaNova SuiteTM, provides the most accurate generative AI models, optimized for enterprise and government organizations, deployed on-premises or in the cloud, and adapted with an organization's data for greater accuracy

    Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, that include hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others. Visit us contact us Follow SambaNova Systems onLinkedIn.



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