Embedded Software Engineer
📌Ho Chi Minh City, Vietnam 🇻🇳
⏱︎ full-time
🧙♂️ senior
Join a pioneering R&D-driven tech company on a mission to bridge the frontier between machine learning and embedded systems. With a focus on real-world applications in AI, low-power devices, and edge intelligence, our team is building practical solutions that are reshaping how data is processed where it's generated—on the edge. Backed by seasoned deep-tech engineers, this company works across domains from computer vision to embedded AI, building systems that bring AI inference to ultra-low power hardware environments.
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.
Key Responsibilities
- Develop and maintain embedded firmware (C/C++) for microcontroller platforms (ESP32, ARM Cortex-M).
- Integrate AI models using frameworks such as TensorFlow Lite for Microcontrollers (TFLM).
- Optimize AI model performance using quantization and hardware acceleration (DSP, SIMD).
- Implement and fine-tune sensor drivers (camera, mic, IMU) over I2S, SPI, DMA.
- Manage and schedule ML inference tasks in FreeRTOS while maintaining system stability.
- Profile and debug for performance: speed, memory, and power consumption.
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Collaborate with AI researchers to translate models into efficient edge-compatible implementations.
Must-Have
- 5+ years of experience in embedded systems and firmware development.
- Proficiency in C and C++ for real-time embedded environments.
- Solid understanding of FreeRTOS, and communication protocols (I2C, SPI, I2S).
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Familiarity with AI/ML fundamentals: neural networks, inference vs. training.
- Hands-on experience with TFLM, Edge Impulse, or other on-device ML tools.
- Knowledge of ESP32 and esp-idf development.
- Python scripting for data and ML preprocessing.
- Experience in on-device CV or audio signal pipelines.
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Exposure to low-power embedded design for battery-powered systems.
- 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.
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Be part of a tight-knit team building cutting-edge edge AI products from Vietnam to the world.
📍 27D Quoc Huong, Thao Dien, Thu Duc City, HCMC
Ready to build the future of on-device AI?
Apply now and join a team that’s redefining the limits of embedded intelligence.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
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Experience
🧙♂️ senior
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Skills
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Industry
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