Required technical and professional expertise:
- Full-stack experience.
- Practitioner of agile methodologies.
- 5+ years of experience as a Tech Lead
- 1+ years working with researchers.
- Strong knowledge of best practices, without being dogmatic.
- Ability to navigate high-uncertainty environments and work with open-ended, changing requirements.
Preferred technical and professional experience:
- Experience with programming languages such as JavaScript/TypeScript, Python, Go, Rust, C++
- Previous experience in internal tooling or platform teams.
- Background in physics, or data science.
- Experience in systems development and hardware programming.
- Solid understanding of statistical analysis.
Your role and responsibilities:
The role will inherit a set of disconnected analysis tools that require short-term maintenance and, in some cases, new feature development. However, the real challenge lies in crafting a cohesive and holistic vision for an internal tooling environment that enhances research effectiveness. This is not just about maintaining the status quo—it’s about designing a forward-thinking, adaptable ecosystem that allows researchers to work seamlessly and efficiently.
In an environment where uncertainty is the norm and requirements evolve rapidly, we need a pragmatic and experienced technical lead who can balance best practices with adaptability. This person will work colocated with researchers and scientists, navigating ambiguity to build the internal platforms that drive our innovation forward. If you're passionate about bridging the gap between software and cutting-edge research, this is the role for you.
- Balance pragmatic problem-solving with strategy definition, and implementation.
- Identify and understand the needs of internal teams.
- Reproduce relevant workflows to accurately address problems.
- Design scalable and resilient solutions that stand the test of time.
- Prioritize work based on evolving team needs and project impact.
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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