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Salience Labs Ltd., based in the United Kingdom, seeks an experienced engineering programme manager to own and drive cross‑functional technical programmes from design through tape-out, fabrication, test and qualification. You will align photonics, electronics, firmware, test and packaging teams to meet milestones and deliverables in a fast‑paced, deep‑tech context.
You will engage with engineers to understand constraints, translate them into actionable plans, and manage risks, dependencies and
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 sits at the centre of how Salience Labs turns complex, multi-disciplinary engineering work into delivered hardware. You will drive our technical programmes from design through tape-out, fabrication, test and qualification, keeping photonics, electronics, firmware, test and packaging teams aligned and moving towards clear milestones.
We are looking for someone with an engineering background who has moved into programme or project management and still enjoys getting into the technical detail. You will be credible with engineers, able to understand the real constraints and dependencies, and able to turn them into plans, priorities and decisions that keep work moving.
You will work in a fast-paced, deep-tech environment where the work spans external partners as well as internal teams, and where clear ownership, early risk flagging and disciplined execution make a real difference to how quickly we get to deployment.
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.
If you want to apply your engineering background to driving hard, multi‑disciplinary hardware programmes at the frontier of AI infrastructure, we’d love to hear from you.