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.
This role will focus on the design, optimisation, and development of high performance photonic components for next generation Photonic Integrated Circuits (PICs), contributing directly to our future tape-outs and core IP roadmap.
You will work closely with photonics designers, layout engineers, and testing teams to improve the performance of integrated photonic devices through theoretical analysis, simulation, modelling, and design innovation.
This is a highly technical role suited to someone who enjoys solving difficult physics and engineering problems in a collaborative deep-tech environment. You will take a lead role in the development of key building blocks within our optical switching and photonic systems roadmap, and other integrated photonic components critical to future high port count architectures.
You will join a highly ambitious deep-tech company operating at the intersection of AI infrastructure, semiconductors, and photonics. We are building foundational technology with the potential to reshape the performance envelope of future AI systems.
Alongside a collaborative and research-driven environment, you will have the opportunity to work on genuinely difficult engineering problems with direct impact on product direction and company growth.
If you’re excited by integrated photonics, advanced device design, and solving hard engineering problems at the frontier of AI infrastructure, we’d love to hear from you.

Salience Labs is a leader in photonic solutions targeting connectivity for AI data center infrastructure. Salience’s innovative developments in photonic switching technology enable high-speed, ultra-low latency networking fabrics that remove bottlenecks for AI workloads.