Intern AI Compiler Engineering
📌Munich, Germany 🇩🇪
⏱︎ internship
🧙♂️ internship
on-site
Responsibilities
At the AI Competence Center, we are looking for a student passionate about enabling a variety NXP devices with ML acceleration using modern AI compiler technologies such as MLIR. Leverage your creativity for implementing new, fun, and innovative ways of mapping AI workloads onto edge devices in one of our light-house projects. During this internship, our team members will support you to study and work with open-source AI/ML compiler technologies. In your project, you will learn to push your software development and machine learning skills further. You will invent, implement, and integrate methods to deploy neural networks onto heterogeneous systems. After your internship, you and the team will be proud of having developed a first proof-of-concept integration of NXP devices into open-source AI/ML compiler technologies.
Preferred Skills
- Very strong skills in programming languages such as Python, or C/C++
- Profound knowledge of embedded systems
- Ideally first experience with AI compiler frameworks and/or Neural Processing Units (NPUs)
- Experience with Linux environments
- Experience with development tools such as VSCode and version control systems such as git
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Fundamental know-how of neural network (PyTorch/Tensorflow)
- Currently pursuing a degree in computer sciences, computer engineering or other related fields (Master)
- Capability to work independently and accurately
- Strong critical and analytical thinking
- Good English communication skills for interaction with our multinational team across multiple sites
-
Looking for a challenging internship in a leading Edge-AI high-tech company
Job location: Munich, on-site min. 3 days/week
More information about NXP in Germany...
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
⏱︎ internship
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Experience
🧙♂️ internship
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Working model
on-site
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Skills
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Industry
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