Embedded Software Engineer
📌Munich, Germany 🇩🇪
⏱︎ full-time
🧙♂️ mid-level
remote
We are seeking an Edge AI & Embedded ML Engineer to develop high-performance, low-latency AI models for deployment on resource-constrained devices. This role involves optimizing deep learning models for real-time inference on edge hardware , ensuring efficiency in power-limited environments.
If you have experience with TinyML, on-device AI, and embedded neural networks , this is the perfect opportunity to work on cutting-edge innovations.
Tasks
- Design, train, and optimize machine learning models for deployment on microcontrollers, FPGAs, TPUs, and custom ASICs
- Implement low-power deep learning solutions for edge devices
- Optimize models using quantization, pruning, knowledge distillation, and hardware-aware training
- Deploy and benchmark ML models on TensorFlow Lite, ONNX, PyTorch Mobile, and Edge TPU
- Develop firmware/software to integrate AI models with real-time operating systems (RTOS), IoT networks, and embedded Linux
- Collaborate with hardware engineers to improve AI performance on custom architectures
Requirements
- Experience in embedded software development for AI & TinyML applications
- Proficiency in C, C++, and Python for real-time, low-power systems
- Knowledge of microcontroller architectures and RTOS (Zephyr, FreeRTOS, etc.)
- Ability to work cross-functionally in a fast-moving, collaborative environment
- Passion for pushing the limits of Edge AI & embedded ML innovation
Benefits
🚀 Work on the bleeding edge of
blockchain & AI
innovation.
🌍
Remote-first
team with a flexible work culture.
💡 Opportunity to
shape the future
of decentralized AI applications.
💰 Competitive salary & potential for
equity/token incentives
.
Join Avo Intelligence and revolutionize AI! Work with cutting-edge TinyML tech, collaborate globally, and make an impact. Apply now for the Embedded Software Engineer role!
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
-
Experience
🧙♂️ mid-level
-
Working model
remote
-
Skills
-
Industry
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