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    Senior Principal Engineer, Runtime - Stanford, United States - SambaNova Systems

    SambaNova Systems
    SambaNova Systems Stanford, United States

    1 week ago

    Default job background
    Full time
    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.

    Working at SambaNova

    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.

    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 an experienced software engineer who will work on all parts of the runtime stacks for AI, ML, and scientific applications in high-performance distributed systems. You 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.

    Role Responsibilities
    • Work on design and implementation of new and enhanced features of the runtime stack to support high performance and scalable ML training applications
    • Work on design and implementation of new and enhanced features of the runtime stack to support low-latency ML inference applications
    • Work on system software support for the next generation RDU system
    • Provide tools and performance profilers for customers to configure and use the Datascale system
    • Work on various virtualization technologies to provide isolation and ease of use to enterprise environments
    • Collaborate with other software teams like ML, Compiler, DevOps
    Basic Qualifications
    • Bachelor's or Master's Degree in Computer Science, Computer Engineering, or equivalent and with 5-10 years of industry experience
    • Proficiency in C/C++ and Python
    Preferred Qualifications
    • Experience with operating system, kernel space driver, and user space library
    • Experience with different types of fabrics, such as PCIe, Infiniband, and RoCE
    • Experience with fast networking stacks, such as RDMA
    • Experience with software bringup for hardware accelerator
    • Good communication skills and enthusiasm to help colleagues
    Annual Salary Range and Level

    The base salary for this position ranges from $165,000/year up to $210,000/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.

    #LI-FK1

    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.


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