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