Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create innovative audio solutions and collaborate with a passionate team of music lovers.
- Company: Exciting audio tech startup with a vibrant, international culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a cutting-edge field and make a real impact in audio AI and simulation.
- Qualifications: Experience in acoustics, audio processing, and strong programming skills required.
- Other info: Dynamic role with excellent career advancement potential.
The predicted salary is between 72000 - 96000 £ per year.
A new role for an Application Engineer specialised in audio AI and acoustic simulation to join a successful audio technology start-up. This is a great time to join the company and work alongside a super cool team of international music lovers and audio experts.
As an Application Engineer you will be in a hands-on technical role, collaborating with internal teams to design and develop audio systems, and working closely with B2B customers to understand their requirements and deliver the best solutions across acoustic simulation, audio signal processing and audio machine learning.
Responsibilities:- Develop custom technical solutions for key prospects and customers across acoustic simulation, audio signal processing and audio machine learning.
- Act as a technical bridge between research, engineering and sales teams.
- Collaborate with product and R&D teams to translate customer needs into product improvements and features.
- Assess audio algorithm performance.
- Develop, validate, and benchmark acoustic simulation and audio data generation pipelines.
- Design and run experiments to evaluate accuracy, performance and scalability.
- Support customers with technical training, product demos, documentation, and best-practice guidance.
- Significant background in acoustics, audio simulation, audio signal processing or audio machine learning.
- Detailed understanding of audio hardware, voice and speech tech or audio AI.
- Strong technical abilities balanced with excellent people skills.
- Solid programming skills.
- Clear communicator who can explain complex technical topics.
- Comfortable collaborating with research, engineering and customer-facing teams, as well as customers and external stakeholders.
- Familiar with ML workflows, synthetic data generation, or evaluation of AI models.
Application Engineer – Audio AI & Simulation in London employer: The Audio Programmer
Contact Detail:
The Audio Programmer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Application Engineer – Audio AI & Simulation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the audio tech scene, especially those who work with AI and simulation. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to audio signal processing or machine learning. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of acoustic simulation and audio algorithms. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about audio technology. Tailor your application to highlight your experience in audio AI and simulation, and let us know why you’re excited about joining our team!
We think you need these skills to ace Application Engineer – Audio AI & Simulation in London
Some tips for your application 🫡
Show Your Passion for Audio: Let us know why you're excited about audio AI and simulation! Share your experiences or projects that highlight your love for sound technology. We want to see your enthusiasm shine through!
Tailor Your Application: Make sure to customise your CV and cover letter to match the job description. Highlight your relevant skills in acoustics, audio signal processing, and machine learning. We appreciate when you connect your experience directly to what we’re looking for!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. We value good communication, so make it easy for us to understand your background!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at The Audio Programmer
✨Know Your Audio Stuff
Make sure you brush up on your knowledge of acoustics, audio simulation, and audio signal processing. Be ready to discuss specific projects or experiences where you've applied these skills. This will show that you're not just familiar with the concepts but have practical experience too.
✨Show Off Your Problem-Solving Skills
Prepare to talk about how you've developed custom technical solutions in the past. Think of examples where you acted as a bridge between different teams, like research and sales, to solve a problem. This will highlight your ability to collaborate and innovate.
✨Communicate Clearly
Practice explaining complex technical topics in simple terms. You might be asked to explain an audio algorithm or a machine learning concept, so being able to break it down for someone without a technical background is key. This shows your communication skills and your understanding of the subject.
✨Get Hands-On with Demos
If possible, prepare a demo or a case study of a project you've worked on that relates to audio AI or acoustic simulation. Being able to showcase your work can make a strong impression and demonstrate your hands-on experience in the field.