Audio Systems Embedded Software Engineer (DSP/ Machine Learning)
21 days ago
London
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, • 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), • 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