Lead Embedded Engineer - Pittsburgh, United States - Efficient

    Efficient
    Efficient Pittsburgh, United States

    1 month ago

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    Description
    Pittsburgh, PA, San Francisco Bay Area, or New York City
    Engineering

    Embedded Team

    Efficient's Lead Embedded Engineer will manage the day-to-day responsibilities of our embedded team, guiding them in application development for and the bring up of the world's most energy-efficient programmable processor.

    They will collaborate across all teams, gathering requirements and information to successfully bring up new silicon. Further they will work closely with the compiler to implement customer requirements and build a custom TinyML software stack.

    This position is a unique opportunity to develop applications for cutting-edge hardware as part of a highly interdisciplinary team, helping to demonstrate the value of Efficient's breakthrough technology.

    If you are an engineer who wants to play an integral role on an intensely skilled team and wants to have an immediate impact building the next generation of energy-efficient embedded applications, this is for you
    Key responsibilities

    Manage the day-to-day responsibilities of the embedded engineering team, including:

    Leading the planning of sprints
    Creating, rescoping, and keeping track of tasks
    Assisting in debugging to unblock engineers

    Lead the bring up efforts of Efficient's custom processor, including:

    Developing chip documentation and a bring up plan
    Assisting in the design of custom PCBs for the processor, which integrate sensors, power supplies, and radios
    Verifying the functionality of the processor under different modes and conditions
    Validating and measuring the performance and energy of the processor on internal and customer benchmarks
    Optimizing code to efficiently target the processor

    Develop embedded applications working from customer requirements, existing specifications, and existing code
    Build applications using Efficient's compiler and software stack to target Efficient's processor
    Contribute to an embedded TinyML software stack including a library of optimized common machine learning operators
    Work closely with compiler team to test and refine compiler feature set
    Required qualifications & experience requirements

    Must be an excellent embedded engineer with 7+ years of post-graduate experience
    Bachelor's degree in CS, Engineering or related field required; Master's degree or PhD preferred.
    Prior experience bringing up new silicon or working on new silicon
    Deep knowledge of at least one embedded platform, such as MSP430, STM32, Ambiq Apollo, PIC32, or similar
    Experience developing and deploying applications under resource constraints
    Experience using non-standard build environments and compiler toolchains, especially for embedded systems
    Experience using industry standard development and debugging tools for embedded development
    Strong attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills
    Good problem solving skills; ability to develop solutions and ideas when faced with problems or issues.
    Desired qualifications & experience requirements

    Experience building TinyML models and deploying models under severe resource constraints (e.g. limited memory)
    Experience writing optimized BLAS and DSP kernels
    Experience with compiler development, including LLVM and/or MLIR
    Experience with PCB board design using industry standard CAD tools like Altium or similar
    Knowledge of computer architecture
    Work performed for government contract customers may at times require U.S. Citizenship.
    Efficient offers a

    competitive


    compensation and benefits package, including 401K match, company-paid benefits, equity program, paid parental leave, flexibility, and more We are committed to personal and professional development and strive to grow together as people and as a company.

    Efficient was established in 2022 as a spinout of Carnegie Mellon University and is currently building a world-class team of hardware and software engineers spanning from silicon implementation to compilers.

    With seed funding secured, a portfolio of patent-protected IP, and substantial progress on hardware and software development, Efficient is moving quickly toward delivering first silicon in early- to mid-2024.

    We are a small, but mighty team, with team members spread across EffHQ in Pittsburgh, Silicon Valley, and New York City.

    We are a young company on a tremendous growth path. We aim to bring our team together, in-person often and camaraderie is key to our success. We also have the tools and technology to keep us together and interactive as a remote team.

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