Edge Ai Engineer - Computer Vision/SoC

Performance Optimization: Optimize performance, memory footprint, and power consumption of software/firmware on embedded platforms, specifically for ISP and AI tasks.
AI Integration & Optimization: Integrate and optimize Machine Learning (ML) and Deep Learning (DL) models to accelerate image processing tasks and run efficiently on AI Accelerators or CPU/GPU/NPU resources on SoCs.
System Integration: Develop drivers, HAL/BSP, and middleware to support hardware operations, AI integration, and ISP pipelines.
Continuous Learning: Stay updated with new technologies and trends in Edge AI and ISP and apply them to product development.
Collaboration: Work closely with Hardware, AI/ML, and QA/Testing teams to ensure smooth product operation.
Testing & Debugging: Perform unit testing, integration testing, and debugging to ensure system reliability.
Code Quality: Write high- quality, maintainable, and scalable code, strictly adhering to coding standards and product development processes.
Image Signal Processing (ISP): Design and develop ISP algorithms to improve image quality, compression, and analysis (e.g., noise reduction, demosaicing, white balance, defect correction) on edge devices.
Firmware & Embedded Development: Research, design, and develop software/firmware for embedded systems, microcontrollers (MCU), and microprocessors (MPU/SoC).

Education: Bachelor’s degree or higher in Electronics Engineering, Computer Science, Information Technology, Computer Vision, or related fields.
Programming: Proficient in C/C++ programming in an embedded environment.
Experience: At least 02 years of experience in Embedded Software development or Firmware engineering.
Edge AI/TinyML Expertise:
Solid understanding of ML/DL frameworks for mobile/edge: TensorFlow Lite, PyTorch Mobile, ONNX Runtime.
Ability to optimize AI models (quantization, pruning, graph optimization) for low- resource devices.
Experience with on- chip AI libraries (e.g., CMSIS- NN, STM32 X- CUBE- AI, Vitis AI) or SoC AI accelerators.
ISP & Vision Knowledge:
In- depth knowledge of the ISP pipeline (noise reduction, demosaic, color correction, sharpening, etc.).
Experience working with raw image data (RAW, YUV, RGB).
Embedded Fundamentals:
Experience with MCU architectures (ARM Cortex- M, RISC- V) or MPU/SoC (ARM Cortex- A).
Strong knowledge of embedded communication protocols (SPI, I2C, UART, CAN, MIPI) and Real- Time Operating Systems (RTOS like FreeRTOS, Zephyr) or Embedded Linux.
Other Skills:
Ability to read schematics/datasheets and use hardware debugging tools (JTAG/SWD, Logic Analyzer, Oscilloscope).
Strong logical thinking, problem- solving skills, and ability to work both independently and in a team.
English: Good reading comprehension of technical documents; basic to intermediate communication skills.
PREFERRED QUALIFICATIONS (NICE TO HAVE)
Experience with CI/CD tools for embedded software.
Understanding of embedded security/IoT security.
Experience with computer vision libraries.
Personal projects or products related to Edge AI, ISP, or Computer Vision.
Experience with VHDL/Verilog or basic SoC hardware design is a plus.

Competitive Compensation: Attractive salary package, 13th- month salary, performance bonuses, vacation bonuses, etc.
Compliance: Full benefits and social insurance according to Vietnam&039;s Labor Law.
Premium Corporate Welfare:
FPT Care: Exclusive premium health insurance package (free medical examination and treatment at top international/private hospitals).
Annual periodic health check- ups.
Various gratitude activities taking care of employees&039; and their families&039; spiritual lives.
Work Environment:
Friendly, open, and professional working environment.
Modern facilities and high- quality work equipment.
Unique and vibrant corporate culture with exciting activities: New hire welcome,
Teambuilding, Traditional festivals, Talent shows (Sao Choi), FPT Birthday, March 8th, November 11th, etc.
Career Growth: Numerous opportunities for promotion and technical development.
Internal Discounts: Special rates when using services from FPT Telecom/FPT ecosystem.

Cập nhật gần nhất lúc: 2025-11-28 18:00:06