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Embedded Systems Architect - Edge AI Hardware

5 - 10 years

7 - 12 Lacs

Hyderabad

Posted:1 month ago| Platform: Naukri logo

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Skills Required

C++ ISO Linux RF Analog thermal Product design PCB designing Automotive Embedded software

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Job Type

Full Time

Job Description

Embedded Systems Architect - Edge AI Hardware
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Hyderabad, Telangana, India
Job Type
Full Time
About the Role
About the Role
We are seeking a highly skilled and visionary Senior Embedded Systems Architect to lead the design and implementation of next-generation AI-powered embedded platforms. This role demands deep technical proficiency across embedded systems, AI model deployment, hardware-software co-design, and media-centric inference pipelines. You will architect full-stack embedded AI solutions using custom AI accelerators such as Google Coral (Edge TPU), Hailo, BlackHole (Torrent), and Kendryte, delivering real-time performance in vision, audio, and multi-sensor edge deployments. The ideal candidate brings a combination of system-level thinking, hands-on prototyping, and experience in optimizing AI workloads for edge inference. This is a high-impact role where you will influence product architecture, ML tooling, hardware integration, and platform scalability for a range of IoT and intelligent device applications.
Requirements

Key Responsibilities

System Architecture & Design
  • Define and architect complete embedded systems for AI workloads from

    sensor acquisition

    to

    real-time inference

    and

    actuation

    .
  • Design

    multi-stage pipelines

    for vision/audio inference: e.g., ISP preprocessing CNN inference postprocessing.
  • Evaluate and benchmark hardware platforms with

    AI accelerators (TPU/NPU/DSP)

    for latency, power, and throughput.

Edge AI & Accelerator Integration
  • Work with Coral, Hailo, Kendryte, Movidius, and Torrent accelerators using their native SDKs (EdgeTPU Compiler, HailoRT, etc.).
  • Translate ML models (TensorFlow, PyTorch, ONNX) for inference on edge devices using

    cross-compilation

    ,

    quantization

    , and

    toolchain optimization

    .
  • Lead efforts in

    compiler flows

    such as TVM, XLA, Glow, and custom runtime engines.

Media & Sensor Processing Pipelines
  • Architect pipelines involving

    camera input

    ,

    ISP tuning

    ,

    video codecs

    ,

    audio preprocessors

    , or

    sensor fusion stacks

    .
  • Integrate media frameworks such as

    V4L2

    ,

    GStreamer

    , and

    OpenCV

    into real-time embedded systems.
  • Optimize for frame latency, buffering, memory reuse, and bandwidth constraints in edge deployments.

Embedded Firmware & Platform Leadership
  • Lead board bring-up, firmware development (RTOS/Linux), peripheral interface integration, and low-power system design.
  • Work with engineers across embedded, AI/ML, and cloud to build robust, secure, and production-ready systems.
  • Review schematics and assist with hardware-software trade-offs, especially around compute, thermal, and memory design.

Required Qualifications

 Education:
  • BE/B.Tech/M.Tech in Electronics, Electrical, Computer Engineering, Embedded Systems, or related fields.

Experience:
  • Minimum

    5+ years

    of experience in embedded systems design.
  • Minimum

    3 years

    of hands-on experience with AI accelerators and ML model deployment at the edge.

Technical Skills Required

 Embedded System Design
  • Strong C/C++, embedded Linux, and RTOS-based development experience.
  • Experience with SoCs and MCUs such as STM32, ESP32, NXP, RK3566/3588, TI Sitara, etc.
  • Cross-architecture familiarity: ARM Cortex-A/M, RISC-V, DSP cores.

ML & Accelerator Toolchains
  • Proficiency with ML compilers and deployment toolchains:

    ONNX, TFLite, HailoRT, EdgeTPU compiler, TVM, XLA

    .
  • Experience with

    quantization

    ,

    model pruning

    ,

    compiler graphs

    , and

    hardware-aware profiling

    .

Media & Peripherals
  • Integration experience with

    camera modules

    ,

    audio codecs

    ,

    IMUs

    , and

    other digital/analog sensors

    .
  • Experience with

    V4L2

    ,

    GStreamer

    ,

    OpenCV

    ,

    MIPI CSI

    , and

    ISP tuning

    is highly desirable.

System Optimization
  • Deep understanding of

    compute budgeting

    ,

    thermal constraints

    ,

    memory management

    ,

    DMA

    , and

    low-latency pipelines

    .
  • Familiarity with debugging tools:

    JTAG

    ,

    SWD

    ,

    logic analyzers

    ,

    oscilloscopes

    ,

    perf counters

    , and profiling tools.

Preferred (Bonus) Skills
  • Experience with

    Secure Boot

    ,

    TPM

    ,

    Encrypted Model Execution

    , or

    Post-Quantum Cryptography (PQC)

    .
  • Familiarity with safety standards like

    IEC 61508

    ,

    ISO 26262

    ,

    UL 60730

    .
  • Contributions to open-source ML frameworks or embedded model inference libraries.

Why Join Us?

At

EURTH TECHTRONICS PVT LTD

, you wont just be optimizing firmware you will

architect full-stack intelligent systems

that push the boundary of whats possible in embedded AI.

Work on

production-grade, AI-powered devices

for

industrial, consumer, defense, and medical applications

. Collaborate with a high-performance R&D team that builds

edge-first, low-power, secure, and scalable systems

. Drive

core architecture

and set the

technology direction

for a fast-growing, innovation-focused organization.

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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