We are an early-stage deep-tech photonic bio-sensing company combining silicon photonics, micro-fluidics, and applied AI to bring high-end optical instrumentation out of the central lab and onto a low-cost disposable chip plus a compact reader. The first product is a point-of-care diagnostic targeting a multi-billion-dollar market currently served by hand-aligned, six-figure bench-top instruments.
The mission
£500K of benchtop optical instrument has to become a £5 disposable chip. The optics, the photonics, the detection, the entire signal path that today sits inside hand-aligned six-figure machines, has to live on a wafer that ships to a clinic and gets thrown away. Silicon photonics has finally reached the cost-volume curve where this is feasible, and AI design tools are finally good enough to do the multi-physics co-optimisation without an army of PhDs. The window is open. That collapse is the central technical bet of the company, and it is ours to own.
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CTO / Chief Photonics Officer (Stealth Photonic Bio-sensing Venture)
London,BerlinPosted 3 days ago
onsite
Job Description
What we do
Your role
You own the photonic and detection stack from architecture through foundry to a working integrated reader. You are the technical anchor who turns design intent into manufacturable, clinical-grade silicon, and ultimately the person who decides which physics gambits ship and which we leave for the next product.
Responsibilities
Responsibilities
- Photonic and detection architecture for the disposable chip and reader.
- Foundry execution: PIC, nano-optical, and microfluidic prototyping relationships; tapeout cadence; yield, robustness, and tolerance management.
- The design loop: working alongside our automated multi-physics design engine; interrogating its output, catching unphysical behaviour, and driving design-arounds.
- Reader integration: opto-mechanical, thermal, and electronics integration with the cartridge.
- Risk register: what fails, how often, how we engineer it out for a device that has to be manufacturable at scale.
- Hiring: your network is part of the value you bring for the first technical hires (micro-fluidics, hardware/firmware, instrumentation).
Your profile
- PhD in silicon photonics or EE, demonstrable experience taking PIC designs to working silicon.
- Have personally taken multiple designs from layout to working silicon at a commercial photonics foundry.
- Comfortable across photonic integration, photon-counting detection, and nano-optical component design.
- Reads simulation and optimiser output as a co-pilot, not a black box.
- Bonus: prior experience in scientific instrumentation, bio-photonics, or biomedical optical engineering.
- Intellectually honest about uncertainty. Hardware is a humbling teacher. The right answer when you don’t know is “I don’t know”, followed by an experiment.
- Comfortable being the deepest expert in the room. You will be the photonics authority for investors, partners, and the technical organisation we hire after you.
- Sceptical of black-box AI on physics problems. You will work alongside an automated multi-physics design engine, treat its output as a smart collaborator that occasionally produces unphysical nonsense, not as oracle.
- Bias to ship, not polish. First-silicon is rarely perfect. We learn from the chip we have, not the chip we wish we had.
- Direct communication. Cofounder disagreements get aired and resolved on the day. We trade weeks for clarity.
- Long-horizon patience. A six-figure instrument compressed onto a £5 chip is not a one year project. We are building for a decade.
What we offer
Founding team-level equity. Salary set at pre-seed close, calibrated to the round size and the role’s market reality at that point.
Who you’d be working with
Prathap, the founder. Repeat founder and AI expert, London-based. Software engineer by training, hardware startup founder by choice, pulled into life-sciences instrumentation because lab-on-a-chip is the wedge that puts cutting-edge diagnostics into the hands of the half of humanity that doesn’t have access to a teaching hospital. Built the multi-physics BO engine that produced the current tape-out candidate, drafted the priority patent specification, and owns GTM, funding, and the early organisation.
I’m not a silicon-photonics engineer. Fab, foundry, opto-mechanical integration, these are the parts of the device I can’t run myself, and I’m not planning to. They’re the parts you’d own end-to-end: architecture, foundry choice, tape-out cadence, the technical hires. I’d back your calls, not second-guess them.
How we work? The bits that matter to a daily relationship
Who you’d be working with
Prathap, the founder. Repeat founder and AI expert, London-based. Software engineer by training, hardware startup founder by choice, pulled into life-sciences instrumentation because lab-on-a-chip is the wedge that puts cutting-edge diagnostics into the hands of the half of humanity that doesn’t have access to a teaching hospital. Built the multi-physics BO engine that produced the current tape-out candidate, drafted the priority patent specification, and owns GTM, funding, and the early organisation.
I’m not a silicon-photonics engineer. Fab, foundry, opto-mechanical integration, these are the parts of the device I can’t run myself, and I’m not planning to. They’re the parts you’d own end-to-end: architecture, foundry choice, tape-out cadence, the technical hires. I’d back your calls, not second-guess them.
How we work? The bits that matter to a daily relationship
- Done > perfect. A prototype on the bench is worth a thousand-slide deck.
- Outcome > metrics > intuition. Metrics are how we navigate; outcomes are what we are navigating to; intuition is what we tolerate when neither is available.
- A bad decision is better than no decision. Founding teams die of indecision more often than bad calls.
- Over-communicate by default. Ambiguity within the founding team is the single biggest unforced error early.
- Compassion and trust over performance incentives. Compensation gets people in the door; trust keeps them building.