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    Job · 21687903

    BENGALURU · FULLTIME

    Sr Staff Engineer, Hardware Design (AI2552)

    SIMA Technologies

    SIMA Technologies

    Bengaluru · onsite · Posted 1d ago

    Sourced fromNaukri
    Undisclosed8–11 yrsfulltimeBengaluru

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    Section · 01

    About this role

    ng-non-bindable> Description
    Job Title: Sr Staff Engineer, Hardware Design
    Job Location: Bangalore, India (This position requires a full-time, on-site presence in our Bangalore, India Office)
    Job ID: AI2552
    SiMa.ai is looking for an experienced hardware design engineer to own and evolve the RISC CPU IP used in our MLSoC . You will work with architecture, verification, emulation, and physical design teams to define the microarchitecture, implement RTL, and make the modifications needed to meet performance, functionality, and SoC integration requirements.
    You will contribute across the IP development lifecycle, from architecture and design reviews through synthesis, timing analysis, verification support, physical design collaboration, and silicon bring-up.
    Responsibilities:
    • Own the RISC CPU core and drive its design, integration, and ongoing development.
    • Work with the architecture team to define and refine the CPU microarchitecture.
    • Modify and optimize the RISC CPU RTL to meet performance, functionality, and SoC integration requirements.
    • Review RTL and design changes for quality, correctness, and maintainability.
    • Perform or support synthesis, static timing analysis, equivalence checking, CDC analysis, and linting.
    • Work with verification and emulation teams to resolve issues and support test and debug activities.
    • Collaborate with physical design teams on floor planning, timing closure, and other implementation needs.
    • Support IP integration, chip validation, bring-up, and characterisation.
    • Coordinate with the ML accelerator and SoC teams to ensure the RISC CPU IP meets system-level requirements.
    • Improve design methodology and flows for CPU IP development.
    Minimum Qualifications:
    • Bachelor s or master s degree in electrical engineering, computer engineering, or a related field.
    • 8-11 years of professional experience in hardware IP design, SoC design, or a related area.
    • Strong understanding of CPU architecture and experience developing or maintaining CPU IP.
    • Experience with RTL design and SoC design methodology.
    • Experience working across relevant parts of the design lifecycle, such as microarchitecture, synthesis, timing analysis, verification, emulation, physical design, or silicon bring-up.
    Preferred Qualifications:
    • Experience with RISC CPU cores is plus.
    • Experience with ARM CPUs and associated bus protocols.
    • Experience integrating CPU IP into an SoC or working with accelerator-based systems.
    Personal Attributes:
    • Takes ownership and follows through on commitments.
    • Focuses on execution and results.
    • Works effectively across teams and communicates clearly, including during difficult technical discussions.
    • Demonstrates integrity, curiosity, and a collaborative approach.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    CdcSOCStatic Timing Analysissoc designphysical designtiming analysisfloor planningtiming closuresynthesiscomputer engineeringRTL DesignDebugelectrical engineeringArchitectureHardware DesignArtificial IntelligenceMachine Learning

    Section · Company

    About SIMA Technologies

    SIMA Technologies

    SIMA Technologies

    Semiconductors

    None

    United States

    ₹28.4L PA avg

    Avg at SIMA Technologies

    About

    Focuses on machine learning solutions by offering a software-centric platform to enhance performance in embedded systems for computer vision tasks.

    Industries

    AI InfrastructureArtificial Intelligence (AI)Embedded SystemsMachine LearningSemiconductorSoftware

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