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Embedded Machine Learning Application Engineer
Alif Semiconductor
Pleasanton, CA
Alif Semiconductor is revolutionizing the way secure connected AI-enabled embedded solutions are created. We are looking for motivated individuals who want to be involved in a fast-paced environment with cutting-edge technology.

We are looking for self-driven and motivated Senior Application Engineer with AI/ML experience in Pleasanton, CA to help us promote and support the groundbreaking family or Ensemble and Crescendo Micro Controllers that have received a lot of industry attention.


    • Design Embedded Firmware, Application Examples and a Proof-of-Concept solutions.
    • Develop reference designs in cooperation with Partners and Independent Design Houses.
    • Create and present training material targeting embedded applications and solutions.
    • Develop/Port machine learning software algorithms applying relevant scientific rigor to analyze data.
    • Write technical reports backed by statistical analysis.
    • Scour IP and literal sources to gather unique information and explain test results.
    • Assist engineering teams in defining product specifications and help performance.
    • Act as the link between scientific and engineering teams in translating machine learning algorithms into products.
    • Ensure customer satisfaction by providing outstanding support and guidance.
    • Contribute to the development of documentation such as Application Notes, Quick Start Guides and User Manuals.


    • Degree in Electrical Engineering or Computer Science with academic and/or experiential background in Analog/Digital Signal Processing, Machine Learning, and Embedded Systems.
    • 5+ years of experience of developing firmware and/or software for embedded products. Experience with IoT edge devices with AI/ML application development is a plus.
    • Experience or strong background with machine learning algorithms, Deep Neural Network architectures and platforms such as TensorFlow, TinyML, PyTorch etc.
    • Experience in optimization on Micro-controller or MicroProcessors, Hardware Accelerators, Co-Processors or other architectures (SIMD, VLIW, OpenMP, NEON, etc.) and optimal partitioning of the training and inferencing tasks across IoT hierarchy.
    • Experience in HW(FPGA)/SW/Firmware based prototyping to demonstrate proof of concept
    • Strong theoretical and programming skills with tried experience crafting, prototyping, and delivering advanced algorithmic heavy embedded solutions.
    • Fully understand the application space of the image analytical algorithms.
    • Equally comfortable working with well-defined and ambiguous requirements.
    • Excellent interpersonal communication skills and proactive, can-do attitude.

Desired Skills & Experience

    • Desired Skills & Experience
    • Comfortable working with resource constrained embedded platforms
    • Experience in Real Time Operating Systems and the use of Linux as embedded operating system.
    • Experience with power management for embedded systems is a big plus.
Alif Semiconductor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.