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More about the role We are looking for a Spatial Audio Engineer to help develop our next-generation, DNN-based hearing-aid algorithms. In this role, you will create realistic spatial simulations to understand and shape how our models behave in challenging everyday acoustic scenes, with direct impact on hearing-aid users. Your responsibilities will include: Building and improving high-fidelity spatial audio pipelines for DNN training and evaluation, covering simulated room acoustics, multichannel rendering, spatial audio, audio signal processing, data engineering, and deep learning. Creating tools and analyses to validate realistic spatial audio scenes and understand how spatial training data affects model behavior in complex everyday acoustic environments, Working closely with Audatic’s deep learning engineers to keep training data diverse, physically plausible, perceptually meaningful, and aligned with our DNN models. Contributing to hearing-aid algorithms that use subtle spatial cues from multiple microphones to separate speech from noise, preserve acoustic-scene awareness, and improve communication in demanding real-world environments. More about you A bachelor’s or master’s degree in a technical field and at least 5 years of relevant experience or a Ph.D. in the field of audio processing and at least 2 years of relevant experience. Expertise in spatial audio , such as ambisonics, HRTFs, room simulation, binaural rendering, or other spatialization techniques. Practical knowledge of room-acoustic measures such as RT60, DRR, early reflections, late reverberation, clarity, and diffuseness, and how to use them to validate simulated environments. Strong foundations in audio digital signal processing (DSP) . Experience in spatial perception , including cues and concepts such as ITD, ILD, interaural coherence, localization, externalization, or related perceptual metrics. Strong Python proficiency and a demonstrated ability to write robust, clean, maintainable code. Familiarity with deep learning concepts, including training data, targets, loss functions, model evaluation, and how data quality affects model behavior. Experience developing DNN training data pipelines or working directly with deep learning models is a strong plus. Dependable communication skills with full professional proficiency in English. More about what we offer At Audatic , you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being. Competitive compensation package 30 days of paid vacation Conference visits and the opportunity to publish relevant discoveries Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin Regular team events and a yearly retreat Company-sponsored public transport ticket (Deutschlandticket) Hybrid work model (at least 60% on-site)
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.