Hardware vs. Software in Deep Tech: Unpacking the ‘Industrialisation Experience’ Premium

A Laser Engineer, a role demanding deep hardware expertise, now earns £90,000 in the UK. A Quantum Software Engineer, by comparison, commands £100,000. This 10% salary difference is historically narrow, challenging a long-held market assumption that the premium in deep tech belongs solely to abstract software development. Quantum People’s proprietary data indicates this assumption is becoming obsolete.

TL;DR

• Deep tech hardware roles now command a near-equal salary to software roles in the UK.
• ‘Industrialisation experience’—transforming lab prototypes into reliable products—is the new premium skill.
• The market is re-weighting value towards engineers who can build and scale physical quantum systems.

What is the market re-pricing in deep tech?

The deep tech sector is shifting its focus from theoretical promise to the demanding reality of physical delivery. For the past decade, value largely accrued to those who could design algorithms and model quantum systems, a trend that saw software roles consistently commanding higher salaries and attracting a disproportionate share of capital. According to Quantum People’s 2026 Q3 Global Salary Guide, this dynamic is changing fundamentally, as the sector moves from fundamental research towards commercial productisation.

Quantum People observes a clear and growing premium for what we term ‘industrialisation experience’. This is not merely generic hardware experience; it is the specific, hard-won knowledge of how to transform a fragile, one-off laboratory demonstrator into a reliable, manufacturable, and serviceable product. This trend is most pronounced at the interface between Technology Readiness Level (TRL) 4, where lab components are validated, and TRL 7, which requires system prototype demonstration in an operational environment. This transition demands a unique blend of scientific insight and engineering pragmatism, a skill set increasingly vital as quantum moves beyond pure research. The challenges include mastering environmental control, vibration isolation, thermal management, precision alignment, and complex calibration procedures, all of which are critical for stable quantum operations.

The salary data provides the clearest signal of this re-pricing. While a quantum software engineer commands a strong £100k salary, the £90k figure for a laser engineer is more significant than it appears. This role, alongside others in optics, cryogenics, and vacuum systems, represents the physical layer of the quantum stack. The narrowing gap indicates that companies are no longer solely funding R&D; they are actively funding production and the complex engineering required to build stable machines, not just models of them. This shift necessitates a different kind of talent, and the market is beginning to pay for that capability. Three years ago, the salary difference between these roles was closer to 25-30%, demonstrating a rapid recalibration of perceived value. This trajectory suggests a market correction, where the scarcity of skills vital for building real-world, deployable quantum systems is finally being reflected in compensation.

Why is the common narrative of “faster maths” incomplete?

The prevailing narrative often frames quantum computing as primarily a race for computational speed, focused on ever-faster algorithms. Quantum People’s vantage point, spanning talent, capital, and scientific progress, reveals this view to be incomplete. As the strategist Pravir Malik has argued, the true potential of quantum computing lies in achieving ‘structural literacy’—a new way of understanding and manipulating complex systems, from molecular structures to financial markets. This is not solely a software problem; it represents a full-stack, hardware-first challenge, where the physical realisation dictates the computational possibility.

Most observers, particularly those embedded within venture capital and pure software communities, continue to view hardware as a commoditised substrate, with the ‘real’ value residing in the software layer. This perspective fundamentally misreads the current moment in quantum. Unlike mature IT where hardware has largely become a commodity, the primary bottleneck to delivering any tangible quantum advantage is not a scarcity of theoretical algorithms; it is the absence of fault-tolerant, scalable, and reliable hardware. Without a stable physical foundation, even the most elegant software remains an academic exercise, unable to perform at the scale or reliability required for commercial impact.

The market is beginning to acknowledge this reality. The talent premium is shifting towards engineers who can solve fundamental problems of noise, coherence, connectivity, and control within the physical world. These are not just theoretical physics problems; they are engineering challenges requiring deep practical expertise. According to the publication Allen’s Thoughts, physical infrastructure is inherently ‘sticky’—it is difficult and expensive to build, validate, and alter. This stickiness creates durable value and significant barriers to entry for competitors. While the software running on a quantum computer can be iteratively rewritten and deployed, the computer itself represents a complex piece of industrial art, requiring precision engineering and meticulous integration. The individuals possessing the expertise to construct and maintain these machines are becoming the most valuable players in the field. Quantum People observes that capital is increasingly flowing towards firms demonstrating tangible progress in hardware integration and reliability, reflecting this re-evaluation of value and a recognition of where the true challenges lie.

What evidence supports the shift towards industrialisation?

The data supporting this strategic shift towards industrialisation is not confined to salary benchmarks. It is evident in corporate strategy, government policy, and the very structure of the emerging quantum supply chain. Quantum People’s analysis, integrating signals from talent flows and capital deployment, provides a comprehensive picture.

First, the salary benchmarks from our 2026 Q3 Global Salary Guide offer concrete evidence. The 10% difference between a senior software engineer and a senior hardware engineer role is historically narrow. Three years ago, this gap was closer to 25-30%, indicating a rapid re-evaluation of skills. This trajectory is clear: the market is aggressively bidding for talent that can build, integrate, and scale physical systems. Roles such as laser engineers, cryogenics specialists, and vacuum system designers are increasingly demanding engineers to be onsite, engaging directly with complex equipment, precision manufacturing processes, and intricate optical alignment. This is a stark contrast to the often remote-first culture prevalent in many software teams. This premium reflects the scarcity of individuals who possess both deep scientific understanding and practical industrial experience in areas like optical system design, materials interaction, and metrology.

Second, major industry players are structuring their operations around this hardware-first reality. Quantinuum, for instance, is not merely developing code; it is explicitly focused on developing advanced software stacks designed to run on its own evolving hardware. This vertical integration, as noted by observers like Frank Lavigne, highlights the deep interplay between hardware and software development. Progress in one cannot be achieved in isolation from the other; the software’s capabilities are intrinsically constrained and enabled by the physics and engineering of the underlying machine. This strategic choice by a leading firm signals a recognition that full-stack mastery, from qubit fabrication to quantum control systems, is essential for commercial viability and achieving optimal performance.

Third, government and standards bodies are codifying the importance of a comprehensive, full-stack approach. The US Cybersecurity and Infrastructure Security Agency (CISA) recently published its initial list of both hardware and software categories required to support post-quantum cryptography. This acknowledges that security is not an abstract software patch; it must be rooted in and secured by the physical hardware itself. This imperative is further reinforced by corporate activity, such as BTQ Technologies‘ strategic investment to acquire post-quantum cryptography IP for “hardware-rooted security.” These moves demonstrate that market participants understand that trust and resilience must be engineered into silicon and steel, not solely into code, requiring a deep understanding of cryptographic primitives at the physical layer.

This period has been aptly described as ‘Quantum’s Industrial Moment’. The challenges are no longer purely scientific or confined to theoretical proofs of concept; they are fundamentally industrial. These are problems of manufacturing tolerance for components like qubit chips or integrated photonic circuits, complex systems integration across diverse subsystems (cryogenic, vacuum, optical, electronic), and reliability engineering at unprecedented scales. Companies like SIGMA LASER GmbH, which specialise in industrial processes such as welding massive moulds, possess a type of hands-on knowledge that is becoming profoundly relevant to quantum hardware firms striving to build complex, stable systems for mass production. The expertise in precision engineering, material science, and reliable system design developed in mature industrial sectors is now directly applicable and highly valued within the quantum domain, guiding the transition from laboratory to factory floor.

What are the talent consequences of this industrial shift?

This profound shift towards industrialisation has significant consequences for talent acquisition, development, and career paths within deep tech. The most sought-after candidates are no longer exclusively those with a PhD in quantum information theory from a leading university. Companies are now competing intensely for a much rarer profile: the engineer who possesses deep domain expertise in quantum science, combined with a proven track record of bringing a physical product to market in an adjacent deep tech industry, such as semiconductors, high-precision optics, medical devices, or aerospace.

These individuals bring critical, often overlooked, skills to the quantum sector. They understand process control for highly sensitive quantum components, navigate complex supply chain management for esoteric and often bespoke components, implement rigorous quality assurance protocols for systems with extremely tight tolerances, and design systems for ease of serviceability and maintenance. They possess the practical wisdom of taking a system from a pristine, controlled laboratory environment and making it function reliably in a customer’s data centre or industrial setting. This specific skill set is almost never explicitly taught in academia; it is acquired through years of experience on the factory floor, in systems integration bays, and through hands-on product development cycles where failures are analysed and designs iteratively improved.

The talent pool for these hybrid roles is dangerously small, creating a significant bottleneck for firms aiming to scale. As a direct consequence, Quantum People is observing a strategic shift in hiring approaches. Leading quantum firms are no longer solely recruiting from physics departments or post-doctoral programmes. They are actively poaching experienced systems engineers, manufacturing specialists, and photonics experts from established industrial and optical companies, seeking individuals with proven track records in areas like lean manufacturing, Six Sigma for complex systems, and project management for hardware builds. Furthermore, many are investing heavily in building internal training programmes designed to provide their existing scientists and theoretical physicists with an accelerated crash course in industrial processes, engineering methodologies, and product lifecycle management, bridging the gap between theoretical knowledge and practical application.

For individuals navigating their careers in quantum, this shift means that the most valuable career path may not be to specialise further in a narrow algorithmic or theoretical domain. Instead, significant value now accrues to those who gain hands-on experience at the hardware-software interface, and particularly, to those who contribute to a product that has been successfully manufactured, shipped, and deployed in a real-world setting. That practical, industrial experience, underpinned by a deep scientific understanding, is what now commands the premium in the deep tech talent market.

What is Quantum People’s verdict on the quantum industrialisation?

The ongoing debate over whether hardware or software is more critical to quantum’s future is a distraction. Quantum People’s analysis, drawing on proprietary salary benchmarks, hiring signals, and talent flows, leads to a clear conclusion: the real division is between firms that understand they are fundamentally industrial companies and those that still operate with the mindset of pure research projects. The former are proactively building integrated teams with a crucial blend of scientific depth and industrial engineering expertise, recognising that the path to commercialisation is paved with physical machines. The latter continue to hire pure software teams, operating under the often-unspoken assumption that a perfect, fault-tolerant machine will simply materialise to run their code, an assumption increasingly detached from market realities.

Quantum People’s analysis of the talent and capital markets demonstrates that the market has begun to price in the immense difficulty and inherent value of industrialising quantum hardware. The companies that are poised to succeed in the next decade are not necessarily the ones with the cleverest algorithms or the most abstract theoretical advances, but rather the ones who master the complex, messy, and capital-intensive business of building reliable, scalable machines. They are hiring for this capability now, and the salary premium for industrialisation experience is the undeniable proof of this strategic imperative.

The most valuable algorithm in quantum right now is the one for turning a lab bench into a production line.

Frequently asked questions

What is driving the value of quantum hardware roles?

The primary driver is the industry’s shift from pure research and development to productisation and commercial deployment. As companies focus on building and shipping physical quantum computers, the scarcity of engineers with experience in manufacturing, systems integration, and reliability for complex hardware creates a critical talent bottleneck, significantly increasing their market value.

What does ‘industrialisation experience’ mean in a deep tech context?

It refers to the practical skills required to take a technology from a laboratory prototype to a manufacturable, reliable, and serviceable product. This includes expertise in areas like precision engineering, process control, quality assurance, supply chain management, and designing for manufacturing, skills not typically acquired in an academic research setting.

Does this mean quantum software is becoming less important?

No. Software remains absolutely critical. However, its true value is intrinsically linked to the availability and performance of the hardware it runs on. As Frank Lavigne has highlighted, the two are deeply intertwined. The current talent market is simply correcting a historical imbalance, recognising that the hardware’s industrialisation represents the more immediate and difficult bottleneck to solve for commercialisation.

Which companies exemplify this hardware-first industrial trend?

Companies pursuing a full-stack, vertically integrated model, such as Quantinuum, are prime examples. By developing their software stack in tight coordination with their proprietary hardware, they demonstrate a clear understanding that sustainable progress requires mastering the entire system, from the physical qubit to the user interface and beyond into scalable production.

How can individuals acquire valuable industrialisation experience?

Individuals can acquire this experience by seeking roles at the hardware-software interface, particularly in companies focused on moving quantum technologies from TRL 4 to TRL 7. Gaining hands-on experience with product development, manufacturing processes, and systems integration in either quantum firms or adjacent deep tech industries like semiconductors or photonics is highly valued.

Sources

• From One-Off to Industrial: Why Standardized Processes …
• Building Useful Quantum Computers: Constraints …
• deep tech Archives – Allen’s Thoughts…
• Quantum Computing: Software and Hardware Interconnected
• Unpack the Stack: An Introduction to Quantinuum’s Next- …
• Quantum’s Industrial Moment
• Quantum Computing and AI: Synergy or Deep Tech Rivalry?
• YouTube Live Getting Ahead in the Quantum Economy: A …
• Quantum Computing Beyond Hardware: A Structure-First …