Embedded Systems Architect – Edge AI Hardware

Eurth Techtronics Pvt Ltd.; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Eurth Techtronics Pvt Ltd. in Hyderabad seeks a Senior Embedded Systems Architect to lead AI-powered embedded platform design, from sensors to real-time inference on custom accelerators.

You will shape ML tooling, cross-compilation flows, and scalable platform architectures for vision and audio workloads, with emphasis on low power and performance.

Qualifications

• BE/B.Tech/M.Tech in Electronics, Electrical, Computer Engineering, Embedded Systems or related fields.
• 5+ years in embedded systems design, including 3+ years with AI accelerators and edge ML deployment.
• Strong C/C++, embedded Linux and RTOS experience across ARM Cortex-A/M, RISC-V and DSP cores.
• Proficiency with ML compilers and deployment toolchains (ONNX, TFLite, TVM, XLA) and quantization.
• Experience with camera modules, audio codecs, IMUs, MIPI CSI and ISP tuning is highly desirable.

Responsibilities

• Architect complete embedded systems for AI workloads, from sensor acquisition to real-time inference and actuation.
• Design multi-stage vision and audio inference pipelines and benchmark accelerator platforms for latency, power and throughput.
• Translate TensorFlow, PyTorch and ONNX models for edge devices using quantization, cross-compilation and compiler flows.
• Architect camera, ISP, codec and sensor-fusion pipelines using V4L2, GStreamer and OpenCV.
• Lead board bring-up, RTOS / Linux firmware, low-power design and schematic review for compute, thermal and memory trade-offs.

Skills

C/C++

Embedded Linux

RTOS

Edge AI deployment

Low-power design

Real-time systems

Education

BE/B.Tech/M.Tech in Electronics/Electrical/CE/Embedded Systems

Tools

ONNX

TensorFlow

PyTorch

TVM

XLA

MIPI CSI

GStreamer

OpenCV

Job description

We are seeking a Senior Embedded Systems Architect to lead the design and implementation of next-generation AI-powered embedded platforms. You will architect full-stack embedded AI solutions on custom AI accelerators, delivering real-time performance in vision, audio and multi-sensor edge deployments, and influence product architecture, ML tooling and platform scalability.

Key responsibilities

• Architect complete embedded systems for AI workloads, from sensor acquisition to real-time inference and actuation
• Design multi-stage vision and audio inference pipelines and benchmark accelerator platforms for latency, power and throughput
• Translate TensorFlow, PyTorch and ONNX models for edge devices using quantization, cross-compilation and compiler flows
• Architect camera, ISP, codec and sensor-fusion pipelines using V4L2, GStreamer and OpenCV
• Lead board bring-up, RTOS / Linux firmware, low-power design and schematic review for compute, thermal and memory trade-offs

Requirements

• BE/B.Tech/M.Tech in Electronics, Electrical, Computer Engineering, Embedded Systems or related fields
• 5+ years in embedded systems design, including 3+ years with AI accelerators and edge ML deployment
• Strong C/C++, embedded Linux and RTOS experience across ARM Cortex-A/M, RISC-V and DSP cores
• Proficiency with ML compilers and deployment toolchains (ONNX, TFLite, TVM, XLA) and quantization
• Experience with camera modules, audio codecs, IMUs, MIPI CSI and ISP tuning is highly desirable