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    Analog/Mixed-Signal IC Verification Engineer - Fremont, United States - TetraMem INC

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    Description
    Company Description


    TetraMem is a fast-growing well-funded startup company working on the next generation of computing platforms with unique ReRAM-based in-memory computing technologies.


    In this role, you will be responsible for the verification of analog and mixed-signal integrated circuits (ICs) using state-of-the-art verification methodologies and tools.

    The ideal candidate should have a strong background in mixed-signal circuit design and verification, as well as a deep understanding of analog and digital circuit concepts.

    Job Description
    Develop and implement mixed-signal verification and coverage plans for complex IC designs based on design architecture and specifications
    Design and develop verification testbenches using industry-standard verification languages and methodologies
    Write and execute test cases to verify mixed-signal circuits for functionality, performance, and reliability
    Review and analyze verification results, and provide feedback to design teams
    Collaborate with design and layout teams to identify and resolve design issues
    Develop new verification methodologies, tools, and techniques, ensuring scalability and portability
    Sign-off mixed signal designs in preparation for tapeout
    Qualifications

    B.S. EE and 7+ years of relevant industry experience or equivalent
    Strong understanding of analog and mixed-signal circuit design and verification principles
    Ability to write test plans, present results, and communicate clearly with multi-functional teams
    Have a familiarity with verification methodologies and tools: simulators, waveform viewers, execution automation, simulation time optimization, and coverage collection
    Have good programming skills and can write efficient programs or scripts in Perl, Python, and/or C
    Excellent debugging, problem-solving and analytical skills
    Strong communication and teamwork skills
    Familiarity with analog behavioral models is a plus

    Additional Information

    All your information will be kept confidential according to EEO guidelines.
    #J-18808-Ljbffr

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