Embedded systems architect – edge ai hardware Jobs – 70 Open Jobs Today

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Embedded Systems Architect – Edge AI Hardware

Eurth Techtronics -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Signal processing
Software deployment
5G
Encryption
System design
Git
Master's degree
C++
C
Bachelor's degree
Embedded software
SDKs
Computer Engineering
OpenCV
GitHub
B.E.
Linux
ARM
Manufacturing
AI
Sensors
Debugging

Full job description

Hyderabad, Telangana, India

Job Type

Full Time

Workspace

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 won't just be optimizing firmware — you will architect full-stack intelligent systems that push the boundary of what's 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: [email protected]

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.

Apply Now

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