Responsibilities
- Compiler Optimization : Develop and refine Furiosa AI’s high-performance compiler by implementing advanced techniques in graph optimization, resource management, and instruction scheduling to maximize performance.
- IR Design : Define IR structures that reveal the core problems the compiler needs to solve, represent hardware-specific characteristics effectively, and ensure compatibility with other widely adopted open IRs.
- Integration with DNN Frameworks : Collaborate on integrating the compiler frontend with DNN frameworks such as Torch, enhancing compatibility and functionality across different deep learning models.
- Hardware Design and Verification : Contribute to the design and verification of AI hardware, ensuring compatibility with compiler solutions and system reliability through robust and systematic testing methodologies
Minimum Qualifications
- Bachelor's degree in Computer Science, similar technical field of study or equivalent practical experience.
- Experience programming in one or more general purpose programming languages including but not limited to: Rust, Scala, C++, Java, C and Python.
- Experience in at least two of the following: web/mobile development, Unix/Linux environments, distributed/parallel systems, machine learning, networking, large software systems development, and security software development.
Preferred Qualifications
- Master’s or PhD degree in Engineering, Computer Science or other technically related fields.
- Experience with Rust or other major functional programming languages, such as OCaml, Scala, and Haskell.
- Experience in a wide variety of projects utilizing artificial intelligence, and machine learning technologies.
- Excellent written and verbal communication skills.
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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