Embedded System Engineer

3 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: IoT / Embedded Systems Engineer (Audio Processing Specialist)

Experience: 3+ Years

Location: Remote


About the Role

IoT / Embedded Systems Engineer

This is a remote position for candidates who thrive in a collaborative, fast-paced environment and are passionate about bringing intelligent, secure, and reliable embedded systems to life.


Key Responsibilities

  • Collaborate with tech teams to resolve technical support issues, implement enhancements, and improve system performance.
  • Test, debug, and validate embedded products and services as part of ongoing product support.
  • Participate in product discussions with hardware, server-side, and mobile developers to ensure seamless integration.
  • Design, develop, and test efficient, high-quality embedded code using modern frameworks and defensive programming techniques.
  • Ensure robust and secure communication with sensors and medical devices via Bluetooth Low Energy (BLE), Zigbee, and other wireless protocols.
  • Implement defensive programming techniques for reliability, especially for use cases involving elderly users.
  • Harden firmware for maximum protection against tampering and unauthorized access.
  • Collaborate on future hardware and firmware iterations.
  • Develop, integrate, and test new product features, APIs, and data services (e.g., MiiCube platform).
  • Apply user feedback to continuously improve product features and performance.


Required Qualifications

  • 3+ years

    of professional experience in embedded systems or IoT product development.
  • Proficiency in

    Embedded Linux

    (e.g., Raspberry Pi, NVIDIA Jetson, or similar hardware platforms).
  • Strong programming skills in

    Rust

    ,

    Python

    , or

    C/C++

    within an embedded software context.
  • Experience with

    Audio Signal Processing

    and related DSP techniques.
  • Familiarity with

    embedded AI optimizations

    using frameworks such as

    TensorFlow

    ,

    PyTorch

    , or

    ONNX

    .
  • Experience with

    Bluetooth Low Energy (BLE)

    ,

    Zigbee

    , and network interfacing.
  • Hands-on experience with

    serial communication

    and

    network-level debugging

    .
  • Solid understanding of

    Linux kernel functions

    and low-level device interactions.
  • Experience working with

    REST APIs

    ,

    WebSockets

    , and

    streaming endpoints

    .
  • Knowledge of

    secure firmware and device data protection

    best practices.
  • Comfort with

    sensor data parsing and transport protocols

    .
  • Strong debugging, benchmarking, and optimization skills.
  • Proficiency with

    Git

    or other version control systems.
  • Ability to collaborate in a cross-functional, distributed team.


Preferred Skills

  • Experience developing for

    medical or health-tech IoT devices

    .
  • Working knowledge of

    Microsoft Azure

    IoT ecosystem (IoT Hub, Edge, etc.).
  • Familiarity with

    Defensive Programming

    patterns and techniques.
  • Basic understanding of

    hardware electronics

    to aid firmware debugging and optimization.

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