The Hidden Talent Tax on Photonics Integration: Why Funding Alone Won’t Scale PIC Manufacturing

According to its recent announcement, New Origin has secured €6 million in seed funding for silicon nitride PIC manufacturing. This capital signal, however, comes with a hidden tax: the cost of finding multidisciplinary engineers who rarely exist, slowing industrial scale.

TL;DR

• New Origin’s €6M seed funding confirms capital for photonic integrated circuits (PICs).
• PIC industrialisation demands engineers spanning materials, design, fabrication, and packaging.
• This multidisciplinary talent gap will constrain growth more than capital availability.

Market signal: capital is moving into the PIC supply chain

According to Quantum People’s market intelligence, investment in the foundational layers of the photonics industry is increasing. For example, New Origin secured €6 million in seed funding to scale its manufacturing of silicon nitride PICs. This capital deployment aims to move photonic integrated circuit (PIC) technology from a state of advanced research into one of industrial-scale production. It reflects a wider market belief that the core scientific challenges are sufficiently mature, shifting the primary focus to manufacturing capacity, yield, reliability, and cost reduction. The problem is no longer just “can we build one?” but “can we build ten thousand, identically and affordably?”.

This trend is not isolated to photonics. Capital across the deep technology landscape is increasingly being allocated to the ‘hard’ problems of hardware and manufacturing. The cycle has moved beyond lab demonstrations and proof-of-concept devices towards building the infrastructure for reliable, repeatable, and affordable production. Investors are recognising that defensible intellectual property in this domain lies not just in the design, but in the complex, difficult-to-replicate processes of manufacturing at volume. New Origin’s funding, as reported in its public announcement, is therefore a specific instance of a broader strategic shift: capital is chasing the means of production, not just the initial invention.

The dominant view: more funding equals faster industrialisation

The prevailing narrative interprets recent funding rounds as a direct and uncomplicated step towards mass production. This view holds that capital is the primary, if not sole, enabler for industrialisation. In this model, money builds the foundries, buys the lithography equipment, and closes the gap between a single laboratory prototype and a commercially viable product line. It is a perspective deeply rooted in conventional manufacturing and software development, where financial investment is the key variable that dictates the pace of progress.

Within this framework, talent is treated as a resource to be acquired once funding is secured, not as a fundamental dependency that might constrain the utility of that funding. The underlying assumption is that the necessary engineers and technicians either already exist in the market or can be trained rapidly enough not to become a bottleneck. The core belief is that financial barriers are paramount; their resolution is believed to automatically unlock scale. Consequently, the market often celebrates these funding rounds as endpoints in themselves, signifying a successful transition from the uncertainty of R&D to the more predictable trajectory of industrial growth. This perspective sees the problem as a logistical one of scaling a known process, rather than one of integrating disparate fields of knowledge under immense commercial pressure.

The QP read: funding is hitting a multidisciplinary talent wall

Quantum People believes the dominant view is dangerously incomplete. It overlooks a fundamental friction that capital alone cannot resolve: a structural shortage of multidisciplinary talent. This creates a Talent Paradox: capital investment in PIC manufacturing is clear and growing, yet the specific, integrated human expertise required to deploy that capital effectively remains scarce and fragmented. New Origin’s €6 million seed funding is real, but so is the ‘hidden talent tax’ it will inevitably incur as the company attempts to execute its plans.

This tax represents the premium paid in time, money, and compromised product roadmaps because the ideal photonics integration engineer is exceptionally rare. Scaling a PIC from a design file to a packaged, tested, and reliable product is not a single job; it is a process that demands deep, practical expertise across at least four distinct and historically separate domains:

1. Materials Science: Understanding the fundamental properties of silicon nitride, silicon oxide, and other dielectrics; controlling deposition processes to achieve specific refractive indices and minimise optical loss. 2. Semiconductor Fabrication: Mastering the complex, multi-step processes of lithography, etching, and deposition within a cleanroom environment. This is a world of process control, yield statistics, and equipment calibration. 3. Photonic Circuit Design: Architecting the on-chip waveguides, modulators, and couplers to perform a specific function, using specialised software and modelling the behaviour of light at the micron scale. 4. Packaging and Testing: The physical and optical interface with the outside world. This involves precision fibre alignment, thermal management, hermetic sealing, and developing automated test procedures to validate performance at volume.

Academic and corporate structures have historically fostered deep specialisation within these silos. As Quantum People noted in its analysis of the ‘Topological Talent Trap’, hyper-specialised research funding cultivates deep but narrow experts. This system is highly effective at pushing the boundaries of a single domain, but it yields a workforce of excellent materials scientists, skilled chip designers, and experienced process engineers who often lack a working fluency in each other’s languages, constraints, and priorities.

Industrialisation, however, occurs precisely at the interfaces between these domains. A theoretically brilliant design is worthless if it specifies a waveguide geometry that cannot be reliably etched with the available fabrication processes. A perfectly fabricated chip that meets all on-wafer test parameters is a museum piece if it cannot be packaged in a way that is durable, scalable, and cost-effective. The real bottleneck for companies like New Origin, in Quantum People’s assessment, is not a shortage of PhDs in physics or electrical engineering. It is a critical shortage of the individuals who can bridge these disciplines, who can stand at the intersection of design and fab, or fab and packaging, and manage the thousands of trade-offs required to manufacture a complex product at scale. New Origin’s €6 million is fuel, but it is being directed into an engine with a highly specific, restricted intake valve shaped by decades of siloed academic and industrial training.

The talent consequence: a slowdown in scaling and a premium on ‘translators’

For companies operating in the PIC supply chain, these dynamics have direct, tangible consequences for their operations and strategic planning. The talent shortage is not an abstract market condition; it is a direct constraint on growth.

First, hiring plans predicated on finding ‘unicorn’ candidates with deep skills across all required domains will fail. This will cause product roadmaps to slip. According to Quantum People’s hiring signals, the time-to-hire for roles that demand expertise in even two of these four skill sets (e.g., a design-for-manufacture engineer) is already extending well beyond the typical 90-day cycle for specialised technical roles. A six-month search for a single critical packaging engineer can delay a product launch by a year, as all subsequent qualification and volume production steps depend on their work. This forces a difficult choice: delay the roadmap, or lower the hiring bar and accept the risk of costly mistakes later.

Second, Quantum People’s salary benchmarks indicate that the very small number of individuals who possess this integrated mindset—typically gained through a decade or more of experience in multi-stage industrial R&D environments like those at major telecoms hardware firms—will command a significant and growing salary premium. These ‘translator’ engineers, who are fluent in the languages of both circuit design and foundry process control, or fabrication and high-volume packaging, become the most valuable members of the technical team. Their primary function is risk mitigation. They spend their days not just on individual technical tasks, but in meetings, translating requirements, challenging assumptions between teams, and preventing the kind of ‘over-the-wall’ engineering that leads to failed tape-outs and low yields. They are the human connective tissue that makes industrialisation possible.

Third, the most effective and adaptable companies will quickly cease searching for individuals who embody all the necessary skills. Instead, they will change their strategy to focus on assembling teams with complementary expertise. The priority will shift from hiring individual ‘stars’ to building a strong, cross-functional system. This means deliberately structuring teams where designers, process engineers, and packaging experts are co-located and incentivised to solve problems collaboratively from day one. It requires a fundamental shift from the siloed, research-focused organisational models common in university spin-outs to a more integrated, product-focused structure. Success will depend more on the team’s collective communication bandwidth than on the brilliance of any single member.

What to watch

Quantum People is tracking three leading indicators to observe how the market adapts to this structural talent bottleneck. These signals will show whether companies are recognising the problem and actively working to solve it, or simply pushing capital against a constrained system.

1. Job descriptions: We are monitoring the language and structure of technical job advertisements. The key signal will be a shift away from roles defined by a single specialism (e.g., ‘Photonics Design Engineer’) towards more integrated titles. We will watch for a rise in roles like ‘Photonic Systems Engineer’, ‘PIC Integration Engineer’, or ‘Product Engineer’ that explicitly require and value experience across the design-fabrication-package lifecycle. The presence of keywords like ‘yield’, ‘reliability’, ‘DFM’ (design-for-manufacturing), and ‘cross-functional collaboration’ will indicate a company that understands the true nature of the challenge.

2. Internal training budgets: Are companies with significant new funding, such as New Origin, allocating a meaningful portion of that capital specifically to cross-train their existing specialists? This would be a powerful signal that the market is beginning to price in the cost of building, rather than simply acquiring, this integrated talent. We will look for evidence of structured internal training programmes, rotational assignments between departments (e.g., a designer spending three months in the fab), and sponsored academic courses for employees in adjacent disciplines.

3. University-foundry partnerships: The talent pipeline originates in academia. A critical long-term indicator will be the emergence of new postgraduate programmes or industrial fellowships that are co-designed and co-delivered by universities and commercial foundries. These initiatives would move beyond traditional internships to provide researchers with hands-on, industrial-grade manufacturing experience as a core part of their training, aiming to produce graduates who are ‘foundry-ready’ and can become productive much more quickly.

The companies that actively manage and solve this talent integration problem will be the ones that successfully scale their operations. Those that simply deploy capital with the expectation that the right talent will materialise will find their progress stalled. For integrated photonics, the capital has arrived; the critical question is whether the talent can be built before the money runs out.

Frequently asked questions

What is the ‘hidden talent tax’ in photonics?

The ‘hidden talent tax’ refers to the extra costs, project delays, and strategic compromises incurred because of the scarcity of engineers with multidisciplinary skills. Companies pay this tax through longer hiring cycles, inflated salaries for rare talent, and costly manufacturing errors made when siloed teams fail to communicate effectively.

Why is it so hard to find engineers for PIC manufacturing?

Scaling PIC manufacturing requires a rare combination of skills spanning materials science, chip design, semiconductor fabrication, and optical packaging. Traditional academic and corporate career paths produce deep specialists in one of these areas, not people with the integrated, practical expertise needed to navigate the trade-offs between them all.

Which skills are most scarce in PIC manufacturing?

The greatest scarcity is not in any single discipline, but at the intersection of them. Skills in design-for-manufacturing (connecting the realities of the foundry to the ambitions of the chip designer) and high-volume, automated packaging and testing are particularly acute bottlenecks to scaling production.

Can’t companies just train people for these roles?

Yes, but this takes significant time, dedicated resources, and a deliberate strategy, all of which slow down the immediate deployment of new capital. The most successful firms will be those that actively invest in structured internal cross-training programmes to build this capability, rather than assuming it can be hired ready-made from the open market.

Sources

• New Origin secures seed funding to scale silicon nitride PIC manufacturing