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    Principal Engineer, Runtime - Palo Alto, United States - SambaNova Systems

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    Description
    The era of pervasive AI has arrived.

    In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

    SambaNova SuiteTM is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations.

    Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy.

    Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.


    The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape.

    Runtime is responsible for the lowest levels of the SambaNova stack, above the hardware.

    We handle all phases of software infrastructure to enable the higher level apps, including:

    OS interface/integration
    Data model manipulation for scaling
    Networking/communication intra and inter node
    Orchestration of partitioned workloads
    Error monitoring and general care and feeding of the hardware.


    We build a high performance, distributed and scalable software execution environment for SambaNova DataScale & SambaSuite platform(s) to support data-flow applications e.g.

    ML training and inference, data processing operations like ETL, and HPC applications.

    We are searching for experienced software engineer candidates that will work on all parts of the Runtime infrastructure. That will include drivers, kernel modules, and userspace libraries. The candidate will participate in building, testing and deploying next-generation high-performance compute systems for AI applications at scale.

    We expect the candidate to have a strong background in programming, building and testing software in distributed systems, performance tuning of large scale systems, and good teamwork and planning skills.

    Likely Work Responsibilities

    Build and enhance infrastructure for high performance ML training and inference.
    System software (drivers and kernel) support for the next generation silicon.
    User-facing tools (analysis, job management, profiling etc) for Datascale systems.
    Virtualization, for isolation and ease of use in multi-tenant environments.
    Collaborate with other software teams; ML, Compiler, DevOps.

    Preferred Skills & Qualifications

    Experience with operating system, kernel space driver and user space library
    Experience with communication fabrics, such as RDMA, PCIe, Infiniband and RoCE
    Experience with software bringup for custom hardware
    Good communication skills and enthusiasm to help colleagues

    Annual Salary Range and Level

    The base salary for this position ranges from $155,000/year up to $185,000/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 For US-Based Full-Time Direct Employment Positions

    (The Recruiter will provide benefit details for non-US-based roles)

    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 77% 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 available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

    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 generative AI capabilities within the enterprise. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing.


    Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and 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 at Follow SambaNova Systems on Linkedin.

    #J-18808-Ljbffr


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