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Embedded ML Engineer - Edge Accelerator

2 - 4 years

4 - 6 Lacs

Hyderabad

Posted:1 day ago| Platform: Naukri logo

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Skills Required

Wireless RTOS C++ Linux RF Product design Sensors PCB designing Automotive Embedded software

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Job Type

Full Time

Job Description

Embedded ML Engineer - Edge Accelerator
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Hyderabad, Telangana, India
Job Type
Full Time
About the Role
About the Role
We are seeking a passionate and skilled Embedded ML Engineer to work on cutting-edge ML inference pipelines for low-power, real-time embedded platforms. You will help design and deploy highly efficient ML models on custom hardware accelerators like Hailo, Coral (Edge TPU), Kendryte K210, and Torrent/BlackHole in real-world IoT systems. This role combines model optimization, embedded firmware development, and toolchain management. You will be responsible for translating large ML models into efficient quantized versions, benchmarking them on custom hardware, and integrating them with embedded firmware pipelines that interact with real-world sensors and peripherals.
Requirements

Key Responsibilities

ML Model Optimization & Conversion
  • Convert, quantize, and compile models built in

    TensorFlow, PyTorch

    , or

    ONNX

    to hardware-specific formats.
  • Work with compilers and deployment frameworks like

    TFLite

    ,

    HailoRT

    ,

    EdgeTPU Compiler

    ,

    TVM

    , or

    ONNX Runtime

    .
  • Use techniques such as

    post-training quantization

    ,

    pruning

    ,

    distillation

    , and

    model slicing

    .

Embedded Integration & Inference Deployment
  • Integrate ML runtimes in

    C/C++

    or

    Python

    into firmware stacks built on

    RTOS

    or

    embedded Linux

    .
  • Handle real-time sensor inputs (camera, accelerometer, microphone) and pass them through inference engines.
  • Manage memory, DMA transfers, inference buffers, and timing loops for deterministic behavior.

Benchmarking & Performance Tuning
  • Profile and optimize models for

    latency, memory usage, compute load

    , and

    power draw

    .
  • Work with runtime logs, inference profilers, and vendor SDKs to squeeze maximum throughput on edge hardware.
  • Conduct

    accuracy vs performance

    trade-off studies for different model variants.

Testing & Validation
  • Design unit, integration, and hardware-in-loop (HIL) tests to validate model execution on actual devices.
  • Collaborate with hardware and firmware teams to debug runtime crashes, inference failures, and edge cases.
  • Build reproducible benchmarking scripts and test data pipelines.

Required Qualifications

Education:
  • BE/B.Tech/M.Tech in Electronics, Embedded Systems, Computer Science, or related disciplines.

Experience:
  • 2-4 years in embedded ML, edge AI, or firmware development with ML inference integration.

Technical Skills Required

Embedded Firmware & Runtime
  • Strong experience in

    C/C++

    , basic Python scripting.
  • Experience with

    RTOS

    (FreeRTOS, Zephyr) or embedded Linux.
  • Understanding of memory-mapped I/O, ring buffers, circular queues, and real-time execution cycles.

ML Model Toolchains
  • Experience with

    TensorFlow Lite

    ,

    ONNX Runtime

    ,

    HailoRT

    ,

    EdgeTPU

    ,

    uTensor

    , or

    TinyML

    .
  • Knowledge of quantization-aware training or post-training quantization techniques.
  • Familiarity with model conversion pipelines and hardware-aware model profiling.

Media & Sensor Stack
  • Ability to work with input/output streams from

    cameras

    ,

    IMUs

    ,

    microphones

    , etc.
  • Experience integrating inference with V4L2, GStreamer, or custom ISP preprocessors is a plus.

Tooling & Debugging
  • Git, Docker, cross-compilation toolchains (Yocto, CMake).
  • Debugging with SWD/JTAG, GDB, or serial console-based logging.
  • Profiling with memory maps, timing charts, and inference logs.

Preferred (Bonus) Skills
  • Previous work with

    low-power vision devices

    ,

    audio keyword spotting

    , or

    sensor fusion ML

    .
  • Familiarity with

    edge security

    (encrypted models, secure firmware pipelines).
  • Hands-on with

    simulators/emulators

    for ML testing (Edge Impulse, Hailo s HEF emulator, etc.).
  • Participation in

    TinyML forums

    , open-source ML toolkits, or ML benchmarking communities.

Why Join Us?

At

EURTH TECHTRONICS PVT LTD

, were not just building IoT firmware were deploying

machine learning intelligence on ultra-constrained edge platforms

, powering

real-time decisions

at the edge.

Get exposure to

full-stack embedded ML pipelines

from model quantization to runtime integration. Work with a world-class team focused on

ML efficiency, power optimization, and embedded system scalability

. Contribute to

mission-critical products

used in

industrial automation, medical wearables, smart infrastructure

, and more.

How to Apply
  • Send your updated resume + GitHub/portfolio links to:

    jobs@eurthtech.com
About the Company
About EURTH TECHTRONICS PVT LTD
EURTH TECHTRONICS PVT LTD is a cutting-edge Electronics Product Design and Engineering firm specializing in embedded systems, IoT solutions, and high-performance hardware development. We provide end-to-end product development services from PCB design, firmware development, and system architecture to manufacturing and scalable deployment. With deep expertise in embedded software, signal processing, AI-driven edge computing, RF communication, and ultra-low-power design, we build next-generation industrial automation, consumer electronics, and smart infrastructure solutions. Our Core Capabilities Embedded Systems & Firmware Engineering - Architecting robust, real-time embedded solutions with RTOS, Linux, and MCU/SoC-based firmware. IoT & Wireless Technologies - Developing LoRa, BLE, Wi-Fi, UWB, and 5G-based connected solutions for industrial and smart city applications. Hardware & PCB Design - High-performance PCB layout, signal integrity optimization, and design for manufacturing (DFM/DFA). Product Prototyping & Manufacturing - Accelerating concept-to-market with rapid prototyping, design validation, and scalable production. AI & Edge Computing - Implementing real-time AI/ML on embedded devices for predictive analytics, automation, and security. Security & Cryptography - Integrating post-quantum cryptography, secure boot, and encrypted firmware updates. Our Industry Impact IoT & Smart Devices - Powering the next wave of connected solutions for industrial automation, logistics, and smart infrastructure. Medical & Wearable Tech - Designing low-power biomedical devices with precision sensor fusion and embedded intelligence. Automotive & Industrial Automation - Developing AI-enhanced control systems, predictive maintenance tools, and real-time monitoring solutions. Scalable Enterprise & B2B Solutions - Delivering custom embedded hardware and software tailored to OEMs, manufacturers, and system integrators. Our Vision We are committed to advancing technology and innovation in embedded product design. With a focus on scalability, security, and efficiency, we empower businesses with intelligent, connected, and future-ready solutions. We currently cater to B2B markets, offering customized embedded development services, with a roadmap to expand into direct-to-consumer (B2C) solutions.
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Eurth Techtronics
Eurth Techtronics

Technology / Manufacturing

Tech City

150 Employees

7 Jobs

    Key People

  • Jane Doe

    CEO

  • John Smith

    CTO

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