Embedded Software Engineer for Audio Systems and Machine Learning

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