This is a rare opportunity to join a well-backed, early-stage tech company building something genuinely new in the audio space. With an experienced founding team and a greenfield roadmap, you’ll play a defining role in shaping a product from day one.
Role Overview:
* Location: London (4 days per week in-office)
* Package: Competitive salary + equity + healthcare
* Industry: Audio Technology / Embedded Systems / Applied ML
What You’ll Be Doing:
* Owning the end-to-end audio subsystem for a compact, low-power edge device and its supporting cloud pipeline
* Designing and optimising real-time audio capture, on-device DSP, and cloud-based post-processing
* Implementing and fine-tuning DSP components such as filtering, AGC/DRC, noise suppression, VAD, and echo control
* Building robust audio pipelines that perform reliably in noisy, unpredictable environments
* Balancing latency, compute, power, and audio quality to achieve production-ready performance
* Defining objective metrics and creating repeatable evaluation and regression testing frameworks (lab and field)
* Debugging issues across embedded, hardware, and cloud layers using profiling, logging, and lab instrumentation
* Collaborating closely with hardware, embedded, and ML engineers to integrate intelligent audio features
* Contributing to engineering best practices, documentation, and technical design discussions
Main Skills Needed:
* Proven experience delivering embedded audio systems (or significant audio subsystems) into production
* Strong fundamentals in DSP and hands-on tuning experience (e.g. AGC/DRC, filtering, noise suppression; AEC/beamforming advantageous)
* Strong C/C++ skills with confidence working under real-time and resource constraints
* Experience using Python (or similar) for analysis, benchmarking, and evaluation tooling
* Practical understanding of audio codecs and streaming/recording pipelines
* Ability to operate effectively in a fast-paced startup environment with high ownership
* Strong communication skills and confidence working cross-functionally
Bonus if you have:
* Hardware-adjacent experience (I2S, ADC/DAC, DMA, SPI/I2C/UART, lab debugging tools)
* Microphone/speaker component selection or acoustic/mechanical insight
* Experience designing structured audio measurement methodologies
* Exposure to low-power / always-on detection or audio classification systems
* Familiarity with ML frameworks and deploying models into production pipelines
* Experience with established audio libraries or frameworks
What’s in It for You:
* A genuine greenfield opportunity to shape a product roadmap from the very beginning
* High ownership and autonomy within a small, experienced, low-ego team
* Direct impact on a product designed to disrupt its market
* Collaboration across embedded, hardware, cloud, and ML disciplines
* Modern tooling and fast iteration cycles to keep you focused on building
* Competitive salary, meaningful equity, and healthcare
* A collaborative, in-person culture designed to accelerate learning and decision-making
If you bring the spark, we’ll give you the platform.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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