Principal Engineer, Firmware Engineering

7 - 10 years

35 - 40 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Architectural Leadership:

    Serve as the technical lead for the entire NPU firmware runtime. Youll define the architecture for the communication and control plane that interacts with the host-side software stack via the PCIe driver.
  • Kernel Orchestration:

    Design and implement the firmware for loading, scheduling, and executing kernels on the NPU. You will optimize the entire workflow from host command receipt to kernel launch, ensuring minimal latency and maximum throughput.
  • Data Flow and DMA Engine:

    Architect the firmware responsible for managing high-bandwidth data flow. This includes interfacing with the

    SRAM

    to stage data and orchestrating the

    DMA engine

    to move data efficiently between the host, DRAM, and

    High-Bandwidth Flash (HBF)

    .
  • Performance Tuning:

    Profile, analyze, and optimize the end-to-end performance of the NPU runtime. Youll identify bottlenecks at the firmware, hardware, and driver layers, and propose innovative solutions.
  • Cross-Functional Collaboration:

    Work closely with the host-side software teams (PyTorch), hardware design teams, and silicon engineers to define APIs, debug complex issues, and ensure a seamless, high-performance solution.
  • Mentorship:

    Act as a mentor and technical guide to other firmware and software engineers, fostering a culture of technical excellence and innovation

Qualifications
  • Experience:

    7+ years of hands-on experience in low-level firmware or system software development.
  • Architectural Acumen:

    Proven experience in defining the architecture of complex embedded or device-side systems.
  • Technical Expertise:

    • Mastery of C/C++

      with a focus on writing high-performance, concurrent, and real-time code.
    • Deep understanding of system architecture, including

      PCIe

      , memory management, and DMA engines.
    • Experience with hardware bring-up, embedded processors, and on-chip peripherals.
    • Knowledge of deep learning frameworks (e.g., PyTorch) and the underlying computation graphs.
  • Leadership Skills:

    Demonstrated ability to lead complex technical projects and influence a diverse group of stakeholders without direct authority.
  • Problem-Solving:

    Exceptional debugging and analytical skills, with a track record of solving the most challenging system-level problems.
  • Education:

    Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.

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