Audio Systems Embedded Software Engineer (DSP/ Machine Learning)

<p>Ready to work at the intersection of embedded systems, audio processing, and AI in a true 01 product environment?</p><p>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.</p><p>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.</p><p><strong>Why Join</strong></p><ul><li>Work on a greenfield product at an early stage</li><li>Own a core product pillar (audio + AI) from day one</li><li>Collaborate across embedded, cloud, and ML teams</li><li>High autonomy in a low-ego, high-performance environment</li><li>Competitive salary + equity</li><li>Strong long-term growth and learning opportunities</li></ul><p><strong>The Role</strong></p><p>You'll take full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration.</p><p>This role sits between embedded engineering and backend/AI - ideal for someone who enjoys both low-level systems and higher-level software.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and build end-to-end audio pipelines (edge cloud)</li><li>Implement and optimise DSP components (e.g. filtering, noise suppression, VAD)</li><li>Develop audio processing systems under real-time and resource constraints</li><li>Build tools for analysis, testing, and performance evaluation</li><li>Collaborate with ML engineers to enable audio-driven intelligence</li><li>Debug and improve system performance across the full stack</li></ul><p><strong>About You</strong></p><ul><li>0-3 years' experience in software engineering, embedded systems, or audio/ML</li><li>Strong academic background (top university preferred, A grades at A-Level</li></ul><p>Experience in the following would be advantageous but not essential</p><ul><li>Coding skills (C/C++ and/or Python)</li><li>Understanding of audio processing / DSP fundamentals</li><li>Interest or experience in Audio ML, signal processing, or real-time systems</li><li>Comfortable working across hardware and software boundaries</li><li>Strong problem-solving ability and curiosity</li></ul><p><strong>Nice to Have</strong></p><ul><li>Experience with audio codecs, streaming, or real-time systems</li><li>Exposure to PyTorch / TensorFlow or ML pipelines</li><li>Familiarity with cloud platforms (AWS or similar)</li><li>Hardware exposure (e.g. embedded systems, sensors, or low-level interfaces)</li></ul><p><strong>What We Offer</strong></p><ul><li>Competitive salary (flexible based on experience) + equity</li><li>Visa sponsorship available (international candidates welcome)</li><li>In-person, highly collaborative working environment</li><li>Opportunity to shape a core product capability in a scaling startup</li></ul><p><strong>Apply Now</strong></p><p>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.</p><img src="https://www.jobg8.com/Tracking.aspx?1cWG9WvfIsrf1RJYhA3y0dS9XoPtmNbfo" width="0" height="0" />