About this opportunity:
You will have the opportunity to work in an outstanding development team, take part in the 5G radio wireless network product development.
What you will do:
- Be responsibile for FPGA simulation and verification strategy planning and architecture design.
- Be responsible for feature point extraction and test case planning and design and debugging, Function coverage analyzing.
- Do documentation for related tasks also be responsible for document review, code inspection.
- Complete tasks required by quality process.
- Be capabile to drive strategic technical leadership.
- Drive continuous improvements in products and processes.
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Develop/support team competence set up in the technical domain.
- Master’s degree or above from top universities, major in Signal & Information Processing, Communication Engineering, Electronic Engineering or equivalent.
- Programming Languages: Familiarity with programming languages such as Python and C/C++ is essential. These languages are commonly used for ML and AI tasks.
- Deep Learning Frameworks: Experience building models using deep learning frameworks PyTorch and TensorFlow is valuable. These frameworks allow you to create and train neural networks efficiently.
- Statistical and Mathematical Concepts: A solid understanding of data cleaning, statistical, mathematical, and computational concepts is crucial. This knowledge helps you design effective ML models and interpret their results.
- Collaboration Skills: Internships often involve working in teams. Being able to collaborate effectively with others is important. You’ll likely work alongside data scientists, engineers, and other professionals.
- Communication Skills: Strong written and verbal communication skills are beneficial. You’ll need to explain your work, present findings, and collaborate with colleagues.
- Capability to work 4 days per week and last for 4-6 months or more for internship.
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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