FPGA IP Design Engineer - Intern

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    Altera

    Accelerating Innovators

    1,001-5,000 employeesFounded 1983San Jose, CaliforniaSemiconductor Manufacturing
    Actively hiringPaidrollingSemiconductor Manufacturing
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    Best applied by Oct 16

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    About the role#

    Altera is looking for an FPGA IP Design Engineer Intern to join the IP Systems and Solutions Engineering team. You will work on creating configurable intellectual property cores that integrate with the Quartus Prime software tool. These cores support memory interfaces like DDR5 and HBM, as well as chip-to-chip and transceiver interfaces for protocols like PCIe and Ethernet.

    What you'll do#

    • Design and develop architecture based on protocol specifications for memory, chip-to-chip, or transceiver interfaces.
    • Write RTL and handle device support along with CAD tool integration.
    • Conduct verification tasks including building frameworks, bus functional models, and running regression tests.
    • Assist with hardware power-on, debug, and product release.
    • Provide technical support to customers.

    What you'll need#

    • You are currently pursuing a Bachelor's degree in computer engineering, electrical engineering, engineering science, computer science, mathematics, or a related field.
    • At least 3 months of experience or coursework in software programming or scripting with languages such as C, C++, or Python.
    • Experience or coursework in digital logic and RTL design using SystemVerilog, Verilog, or VHDL.
    • Familiarity with FPGA design, RTL simulation, timing closure, STA, and memory interfaces is preferred.

    Location & details#

    • This is a full-time, paid internship based on-site in Toronto, Ontario.
    • The position operates on a rolling term basis.
    • Applicants must be eligible for required Canada export authorizations.

    About Altera

    Altera is a semiconductor manufacturing company based in San Jose, California. Founded in 1983, the firm employs over 2,000 people. It produces programmable computing solutions including FPGAs, CPLDs, and software tools. These technologies support data centers, networks, and edge devices across various industries.

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