Device Technical Architect

About the Role
We are seeking a skilled and innovative Embedded Architect to lead the design, development, and optimization of embedded systems for AIoT (Artificial Intelligence of Things), Industrial AI, and Track & Trace technologies. In this role, you will play a key part in architecting next-generation solutions that seamlessly integrate hardware, firmware, and AI-driven technologies to deliver advanced functionality, scalability, and reliability across industrial environments.
Key Responsibilities
Embedded System Architecture
Design and develop scalable and efficient embedded architectures for AIoT and Industrial AI applications. Define and implement architecture patterns for edge computing, real-time processing, and IoT connectivity. Collaborate with hardware and software teams to ensure seamless integration of components.
AI and IoT Integration
Architect solutions that incorporate machine learning models for industrial applications, including predictive maintenance, anomaly detection, and process optimization. Develop strategies to deploy AI models on edge devices, optimizing for performance, latency, and energy efficiency. Design systems for real-time data collection, processing, and transmission across IoT networks.
Track & Trace Solutions
Lead the development of track-and-trace systems utilizing technologies such as RFID, BLE, and GPS. Enable traceability across manufacturing and supply chain processes by integrating sensor data and edge analytics. Ensure compliance with industry standards and regulations for tracking systems.
Technology Leadership
Evaluate and select appropriate embedded platforms, processors, and sensors for industrial use cases. Collaborate with product managers, engineers, and stakeholders to define technical requirements and roadmaps. Drive innovation by staying updated with emerging technologies in AI, IoT, and embedded systems.
Performance Optimization
Analyze and optimize system performance for reliability, security, and low power consumption. Develop frameworks for secure OTA (Over-The-Air) updates and system maintenance. Debug and resolve complex issues at the intersection of hardware and software.
Required Qualifications
Educational Background:
Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.
Experience:
12+ years of experience in embedded systems development, including 3+ years in a lead or architect role.
Proven expertise in AIoT, industrial automation, or track-and-trace technologies.
Technical Skills:
Proficient in embedded C/C++, Python, or Rust.
Hands-on experience with microcontrollers (e.g., ARM Cortex) and embedded operating systems (e.g., FreeRTOS, Zephyr).
Familiarity with industrial communication protocols (e.g., MQTT, Modbus, OPC UA).
Experience deploying AI models on edge devices using frameworks like TensorFlow Lite, PyTorch, or ONNX.
Knowledge of IoT connectivity standards such as BLE, Zigbee, LoRa, and NB-IoT.
Strong understanding of system security, including encryption and secure boot processes.
Preferred Skills
Familiarity with industrial track-and-trace systems using RFID, BLE, or GPS technologies.
Experience with containerized workloads on embedded platforms (e.g., Docker on ARM).
Knowledge of industrial standards like ISA-95, ISO/IEC 20243, or GS1 for traceability.
Exposure to cloud platforms such as AWS IoT, Azure IoT, or Google Cloud IoT.
Experience with hardware-in-the-loop (HIL) and simulation tools for embedded systems testing.
Soft Skills
Strong problem-solving and debugging abilities.
Excellent communication and leadership skills.
Ability to work collaboratively in cross-functional teams.
Proactive approach to learning and staying current with new technologies.
What We Offer
A challenging and rewarding role at the forefront of AIoT and Industrial AI innovation.
Opportunities to work on cutting-edge projects with global impact.
Competitive salary and benefits package.
A culture of learning, collaboration, and growth.