2026 Campus - Embedded Machine Learning Engineer
📌Beijing, China 🇨🇳
⏱︎ full-time
🧙♂️ entry-level
- Develop and optimize Embedded ML inference engines for microcontrollers.
- Train and fine-tune machine learning models using TensorFlow and PyTorch to be deployed on resource-constrained devices.
- Implement and experiment with techniques to improve model performance on low-power and memory-limited devices.
- Collaborate with cross-functional teams to integrate ML solutions into embedded systems.
- Conduct research on new machine learning techniques and tools specifically for Embedded ML applications.
- Optimize machine learning algorithms to meet the performance and resource constraints of embedded systems.
-
Stay up-to-date with the latest advancements in Embedded ML by reading and interpreting technical articles and research papers.
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- Strong experience with TensorFlow and PyTorch for model training and deployment.
- Proficiency in programming languages such as C, C++, and Python.
- Extensive experience in embedded software development and machine learning.
- Excellent programming skills in at least one of the following: C, C++, or Python.
- Proven ability to read and understand technical articles and research papers in English.
- Strong problem-solving skills and attention to detail.
- Good communication skills and the ability to work collaboratively in a team environment.
- Preferred Qualifications:
- Proven experience with deploying machine learning models to embedded devices, specifically for Embedded ML applications.
- Familiarity with embedded systems, microcontrollers, and real-time operating systems (RTOS).
- Deep understanding of software development life cycle and best practices for embedded systems.
- Previous experience in a full-time role or significant project in a related field.
-
Expertise in optimization techniques for low-power and low-latency machine learning models.
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.
Other similar jobs
GPU SW Engineer
@ Huawei Technologies Research & Development (UK) Ltd, 📍China 🇨🇳
Alternance - Ingénieure/Ingénieur "Edge Computing"
@ EDF, 📍China 🇨🇳
SOC Engineer
@ Hitachi Digital, 📍China 🇨🇳
Embedded Cyber Security Engineer
@ AeroVironment, 📍China 🇨🇳
Embedded Controls Engineer
@ Actalent, 📍China 🇨🇳
Embedded Systems Engineer
@ Allied OneSource, 📍China 🇨🇳
Embedded RTOS Lead Engineer
@ Carrier, 📍China 🇨🇳
Embedded RTOS Engineer
@ Carrier, 📍China 🇨🇳
Embedded Engr I
@ Honeywell, 📍China 🇨🇳
Technical Lead Engineer, Embedded Systems
@ Lam Research, 📍China 🇨🇳
-
Employment
⏱︎ full-time
-
Experience
🧙♂️ entry-level
-
Skills
-
Industry
-
Find similar jobs
GPU SW Engineer
@ Huawei Technologies Research & Development (UK) Ltd, 📍China 🇨🇳
Alternance - Ingénieure/Ingénieur "Edge Computing"
@ EDF, 📍China 🇨🇳
SOC Engineer
@ Hitachi Digital, 📍China 🇨🇳
Embedded Cyber Security Engineer
@ AeroVironment, 📍China 🇨🇳
Embedded Controls Engineer
@ Actalent, 📍China 🇨🇳
Embedded Systems Engineer
@ Allied OneSource, 📍China 🇨🇳
Embedded RTOS Lead Engineer
@ Carrier, 📍China 🇨🇳
Embedded RTOS Engineer
@ Carrier, 📍China 🇨🇳
Embedded Engr I
@ Honeywell, 📍China 🇨🇳
Technical Lead Engineer, Embedded Systems
@ Lam Research, 📍China 🇨🇳