Salience Labs · Oxford, United Kingdom
Skills: Python
About us
Salience Labs is developing optical circuit switching technology for AI infrastructure, aimed at significantly reducing latency and cost in data centre networks. As we move towards real-world deployment, you’ll have genuine ownership of your area, working alongside a highly technical team of physicists, engineers and software specialists on one of the hardest problems in AI infrastructure.
Job Overview
As an Embedded Software Engineer at Salience Labs, you’ll be right at the centre of our photonics product development. This role spans low-level firmware, rapid prototyping, and systems integration, giving you the chance to influence everything from proof-of-concept devices to our commercial platforms. You’ll collaborate across hardware, photonics, and FPGA teams to ensure smooth, efficient embedded software development, right down to the register level and all the way up to application-facing tools.
This is a full-stack embedded role, where versatility and curiosity are just as important as technical depth. We’re looking for engineers who enjoy working close to the metal, but can just as easily contribute to user-facing tools and test infrastructure. You’ll be part of a small, fast-paced team where autonomy is encouraged and impact is tangible.
What you’ll be doing
Design, implement, and document embedded software across a variety of project scales Work closely with hardware and FPGA teams to build robust embedded systems Use off-the-shelf development kits for rapid prototyping and system testing Select, tailor, and integrate open-source applications and embedded frameworks Collaborate with the Systems Test team to support test automation and data capture Develop internal tools and test benches for the photonics and hardware teams
What we’re looking for
4+ years of hands-on experience developing embedded software in C or C++ Proven ability to own software modules from design to delivery Comfortable using Python and modern tooling (Git, Confluence, Jira) Strong probl…
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