Tell someone you work in audio and they picture a recording studio. Tell them you recruit for audio companies and they ask which bands you have worked with.

We have stopped correcting people.

The industry is much wider. We place engineers into companies building electric vehicle sound design, underwater sensor networks, hearing-aid firmware and motorsport comms. The "audio = music software" assumption still costs hiring managers months of wasted search.

Audio engineering quietly left the studio years ago. It now sits underneath safety systems, accessibility technology, embedded sensing and machine-learning infrastructure. The engineers in these fields often share the same foundations: DSP, real-time systems, embedded programming, signal analysis. Most of them do not think of themselves as being in the same industry. That fragmentation is the real story, and why hiring in audio has become so much harder than it looks.

Media and interactive

The closest cousin to music software, and where most readers' minds go first. Game studios, streaming platforms and broadcast teams now recruit from the same pool as defence contractors and telecoms companies: anyone who needs audio moved through unreliable systems in real time without the user noticing. Latency budgets are tight, and the engineers who can build DSP systems and ship them reliably in production command the best pay in non-music audio.

Medical and accessibility

Hearing aids, cochlear implants, accessibility tools and a fast-growing speech-enhancement market sit on top of decades of clinical and DSP research. We recently placed a consultant on a hearing-improvement project with a university research group, and the brief was telling: they needed someone who could read an audiology paper in the morning and ship embedded C++ in the afternoon. Those candidates exist. They are also usually already booked, often months out, with certification deadlines that don't flex.

Automotive and sensing

Silent electric vehicles turn out to be a problem. Without engine noise, manufacturers have to design pedestrian warning sounds, in-cabin engine simulations and entire sonic identities from scratch. Most major carmakers now have small teams dedicated to this work, treating sonic identity the way they treat exterior design.

The same skill set powers the unglamorous end of the field: factory-floor predictive maintenance, HVAC monitoring, building acoustics, medical-device alarm design.

These systems ship in millions of devices and generate enormous volumes of training data.

They sit at the centre of the wider shift in audio engineering, from sound-as-art to sound-as-data.

Mission-critical and scientific

Some of the most interesting audio engineering happens where you cannot easily talk: cockpits, submarines, surgical theatres, mines. Hostile environments need someone designing the noise suppression, the bone-conduction headset or the radio protocol. That person usually has a defence, aerospace or motorsport background, not a music one.

Formula 1 is a good example. Drivers and engineers have to hear each other at 300 km/h, through ear plugs, helmets and a wall of aerodynamic noise. We placed an ML engineer into a team building exactly that kind of motorsport comms system last year. There are probably only a few dozen people in the world who do that work, most of them inside companies that spent years training them up and have no incentive to let them go.

Scientific research sits on the same skill base. Bioacoustics has gone from niche to mainstream over the past decade, mostly because machine learning has finally made long-form passive recordings useful. Researchers track endangered species, study coral reef health and, in one widely-covered study, look for linguistic structure in sperm whale clicks. The best candidates straddle audio engineering, ML and field biology, and most of them sit inside academic groups that pay a fraction of industry rates.

Why this matters if you are hiring

Hiring in this space is harder than in most software disciplines, for a couple of structural reasons.

First, the talent is genuinely scattered. The music-software pool and the hearing-research pool barely overlap. People building automotive sound rarely sit in the same conference circuits as people building game audio engines. Generic tech recruiters cannot tell the difference between someone who has shipped a JUCE plugin and someone who has shipped hearing-aid firmware, and the difference matters a lot.

Second, the skills are more transferable than the job titles suggest. We have moved candidates from games studios into automotive teams, from research labs into commercial product roles, from broadcast engineering into defence comms. The trick is knowing which transitions actually work, which is mostly a matter of having seen them succeed (and fail) before.

Most companies hiring audio engineers are no longer competing with other audio companies.

They are competing with adjacent industries for the same narrow group of people, often without realising it. Audio has become one of the hidden technical layers underneath a generation of new products, and the recruiters who serve them have to think across the whole map.

If you are hiring for anything that involves sound, even tangentially, talk to us. We probably know the three people you should be looking at.

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