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    Performance Modeling Engineer - San Diego, United States - OPENEDGES Technology, Inc.

    OPENEDGES Technology, Inc.
    OPENEDGES Technology, Inc. San Diego, United States

    2 weeks ago

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    Description

    OPENEDGES develops AI Edge Computing semiconductor IPs, so that more people can enjoy AI technology closer.

    If the following job requirements and experience match your skills, please ensure you apply promptly.

    ???? Location: San Jose, CA, USA or Austin, TX, USA

    ???? Position: Staff Performance Modeling Engineer

    OPENEDGES is the world's only total memory system and AI platform IP solution company that has delivered NPU, memory controllers, DDR PHY, and on-chip interconnect IPs all together in one place since 2017.

    Roles & Responsibilities:

    OPENEDGES is currently seeking to build a team in the US with the goal of developing a configurable, cache-coherent Network-on-Chip (NoC) to add to its portfolio, enabling high-performance and highly efficient AI designs that require cache coherency. This is an exciting opportunity to work on a design from scratch that can significantly impact the field of AI. This role is based in San Jose, CA, or Austin, TX, with the possibility of hybrid/remote work.

    As a Staff Performance Modeling Engineer, you will play a critical role in architecting the performance model for the cache-coherent interconnect NoC. This will involve collaborating with cross-functional teams to explore architectural options, evaluate design alternatives, project performance, and balance power with performance trade-offs. You will also develop the simulation model infrastructure, performance model for the specific architectures, and support customers using the model.

    Your primary responsibilities will include:

    • Collaborating with cross-functional teams to develop performance models that drive the evaluation of new features and evolve into well-correlated models with our IP RTL designs
    • Modeling complex configurable designs and conducting performance analysis to inform architectural decisions
    • Creating a quantitative performance evaluation strategy
    • Performing performance simulations and measuring alternative designs
    • Analyzing workloads to identify performance bottlenecks and opportunities

    Job Requirements:

    We are looking for a highly motivated individual with the following qualifications:

    • MS or PhD in Computer Science, Electrical Engineering, or a related field
    • Strong experience in computer architecture, microarchitecture, performance, and networking
    • Consistent track record of success in modeling, analyzing, and debugging sophisticated IP designs
    • 8+ years of experience in performance modeling, simulation, analysis, and RTL correlation of SoC system performance, with a proven ability to provide effective solutions
    • Expertise in C++/Python, with a strong background in software architecture and design patterns, applied to various areas in performance modeling and tooling
    • Strong leadership skills and ability to set direction and work through ambiguities

    Preferences:

    • The ability to work in an entrepreneurial environment that fosters a collaborative and team-oriented atmosphere
    • Experience working in start-up environments or venture-backed firms
    • A self-starting orientation with a strong drive to make things happen
    • Experience in bringing up performance models for Network-on-Chip (NoC) is a definite plus
    • Experience/familiarity with the memory and compute challenges of neural network workloads

    Benefits:

    • Medical, dental, and vision benefits
    • Life insurance
    • 401k retirement plan
    • Paid time off, paid holidays, sick leave, etc.

    Location:

    • 2540 N. First Street, Suite 101, San Jose, CA, US (on-site/hybrid/remote)
    • Austin, TX (office coming soon)
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