A complete application in a minute
Tailored resume and cover letter, ready to send.
Talentedge is seeking a Principal / Staff level Firmware Engineer in London to lead design and development of production firmware for a pioneering wearable product. This role sits at the heart of a small firmware team, collaborating closely with hardware, software, and ML engineers to bring a new platform to life.
You’ll own architectural decisions and drive real-time embedded solutions without legacy constraints, shaping the product roadmap and technical direction for a category‑defining
London (Primarily office-based) - open to great candidates looking to relocate to London.
Up to £115k + meaningful equity
This is a really special role for an experienced Firmware Engineer. This is a chance to build the firmware behind a product the world hasn't seen yet...
Our client are building a consumer wearable that doesn't exist yet. Not a better version of something already on the market - a genuinely new platform. The firmware isn't just supporting the product. The firmware is the product.
The prototypes work. The data is real. Manufacturing has begun.
Behind the product is an outstanding and experienced founding team, supported by an exceptional investors and advisors. The team includes people from Meta, Google and Dyson, all working with a modern embedded stack and embracing AI-assisted software development, with humans firmly in the loop.
Phew most importantly, this is a rare opportunity to work without years of technical debt or legacy constraints. Instead, you'll help define the architecture and engineering foundations that everything else will be built upon. The decisions made today will shape not just one product, but an entire smart wearables platform.
At 9 people currently, nothing sits between your decisions and what ships.
You’ll join the small firmware team at the centre of the product, tackling the deepest technical challenges and helping guide architecture from advanced prototypes through to production. This is a hands‑on engineering role with genuine ownership, working alongside hardware, software and machine learning to solve difficult real‑world problems.