Robotics machine learning engineer
📌Almere, Netherlands 🇳🇱
⏱︎ full-time
🧙♂️ mid-level
hybrid
We Currently Have An Open Position For An Enthusiastic Robotics Machine Learning Engineer That Is Looking For a Place Within a Fun Team Of Experts! Within This Team You Will
- Develop, build, and train deep reinforcement learning models.
- Develop and build the model training infrastructure.
- Combine and implement your model within the main software and perform tests.
- Develop, test and build robotic control software applications.
- Optimize the performance based on test results.
-
Give advice to the team on technical milestones and strategy.
- You have a Master/PhD in artificial intelligence, computer sciences or equivalent experience.
- You are eager to work on highly-complex data frameworks.
- You are experienced in software development in Python.
- You are experienced in designing and training Deep Learning networks.
- You have experience in working with PyTorch, TensorFlow, Ray or equivalent.
- Experience with software development in C#.NET and/or C++ is a big plus.
- You have excellent analytical and problem-solving capabilities.
- Affinity with complex physics problems.
- You have a driver’s license.
-
Fluency in English, Dutch is a plus.
- A place within a young enthusiastic team of technical experts where you are given a growing responsibility.
- An innovative environment where you determine your own optimal working conditions (flexible hours, remote working,…).
- A competitive salary
- 25 vacation days
- A state-of-the-art high-end laptop
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
hybrid
-
Skills
-
Industry
-
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