Embedded Software Engineer (AI/ML)

About the Role
We’re looking for a hands- on Embedded Software Engineer (AI/ML) to lead the implementation and optimization of ML models for low- power microcontrollers. If you’re excited about putting ML to work on constrained devices, love diving deep into firmware performance tuning, and are passionate about building real products, not just demos, this role is for you.
You will work closely with a team of AI scientists and hardware engineers to bring ML inference to life on microcontrollers like the ESP32- S3 and ARM Cortex- M series.

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Key Responsibilities
- Implement and fine- tune sensor drivers (camera, mic, IMU) over I2S, SPI, DMA.
- Optimize AI model performance using quantization and hardware acceleration (DSP, SIMD).
- Profile and debug for performance: speed, memory, and power consumption.
- Manage and schedule ML inference tasks in FreeRTOS while maintaining system stability.
- Collaborate with AI researchers to translate models into efficient edge- compatible implementations
- Integrate AI models using frameworks such as TensorFlow Lite for Microcontrollers (TFLM).
- Develop and maintain embedded firmware (C/C++) for microcontroller platforms (ESP32, ARM Cortex- M).

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Location: 27D Quoc Huong, Thao Dien, Thu Duc City, HCMC

Must- Have
- Solid understanding of FreeRTOS, and communication protocols (I2C, SPI, I2S).
- Proficiency in C and C++ for real- time embedded environments.
- 5+ years of experience in embedded systems and firmware development.
- Familiarity with AI/ML fundamentals: neural networks, inference vs. training.
Nice- to- Have
- Hands- on experience with TFLM, Edge Impulse, or other on- device ML tools.
- Python scripting for data and ML preprocessing.
- Experience in on- device CV or audio signal pipelines.
- Exposure to low- power embedded design for battery- powered systems.
- Knowledge of ESP32 and esp- idf development.

Why Join Us?
- Be part of a tight- knit team building cutting- edge edge AI products from Vietnam to the world.
- Tackle real engineering challenges—not SDK demos or sandbox projects.
- Work at the intersection of Embedded Systems & AI—a rapidly growing field with deep impact.
- Collaborate in a startup- like, product- first culture that values ownership and creativity.

Cập nhật gần nhất lúc: 2025-08-07 23:45:03