Job Description
Ready to work at the intersection of embedded systems, audio processing, and AI in a true 01 product environment?
We’re an early-stage, well-funded technology company building a next-generation intelligent hardware product, combining edge devices with cloud-based AI. Backed by experienced founders with a strong track record of building and scaling successful companies, this is a rare opportunity to shape a product from the ground up.
Audio is a critical part of the product roadmap — with significant potential to unlock deeper data intelligence than traditional video-based systems — and we’re looking for an engineer to take ownership of this space end-to-end.
Why Join
* Work on a greenfield product at an early stage
* Own a core product pillar (audio + AI) from day one
* Collaborate across embedded, cloud, and ML teams
* High autonomy in a low-ego, high-performance environment
* Competitive salary + equity
* Strong long-term growth and learning opportunities
The Role
You’ll take full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration.
This role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software.
Key Responsibilities
* Design and build end-to-end audio pipelines (edge cloud)
* Implement and optimise DSP components (e.g. filtering, noise suppression, VAD)
* Develop audio processing systems under real-time and resource constraints
* Build tools for analysis, testing, and performance evaluation
* Collaborate with ML engineers to enable audio-driven intelligence
* Debug and improve system performance across the full stack
About You
* 0-3 years’ experience in software engineering, embedded systems, or audio/ML
* Strong academic background (top university preferred, A grades at A-Level
Experience in the following would be advantageous but not essential
* Coding skills (C/C++ and/or Python)
* Understanding of audio processing / DSP fundamentals
* Interest or experience in Audio ML, signal processing, or real-time systems
* Comfortable working across hardware and software boundaries
* Strong problem-solving ability and curiosity
Nice to Have
* Experience with audio codecs, streaming, or real-time systems
* Exposure to PyTorch / TensorFlow or ML pipelines
* Familiarity with cloud platforms (AWS or similar)
* Hardware exposure (e.g. embedded systems, sensors, or low-level interfaces)
What We Offer
* Competitive salary (flexible based on experience) + equity
* Visa sponsorship available (international candidates welcome)
* In-person, highly collaborative working environment
* Opportunity to shape a core product capability in a scaling startup
Apply Now
If you’re excited by building real-world systems at the intersection of audio, embedded engineering, and AI, we’d love to hear from you.
Keywords: Audio Engineer, DSP Engineer, Embedded Software Engineer, Audio ML Engineer, Signal Processing Engineer, Edge AI Engineer