{
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  "job_title": "Audio Systems Embedded Software Engineer (DSP/ Machine Learning)",
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  "job_posted_at": "3 days ago",
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  "job_description": "Ready to work at the intersection of embedded systems, audio processing, and AI in a true 01 product environment?\n\nWe’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.\n\nAudio 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.\n\nWhy Join\n• Work on a greenfield product at an early stage\n• Own a core product pillar (audio + AI) from day one\n• Collaborate across embedded, cloud, and ML teams\n• High autonomy in a low-ego, high-performance environment\n• Competitive salary + equity\n• Strong long-term growth and learning opportunities\n\nThe Role\n\nYou’ll take full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration.\n\nThis role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software.\n\nKey Responsibilities\n• Design and build end-to-end audio pipelines (edge cloud)\n• Implement and optimise DSP components (e.g. filtering, noise suppression, VAD)\n• Develop audio processing systems under real-time and resource constraints\n• Build tools for analysis, testing, and performance evaluation\n• Collaborate with ML engineers to enable audio-driven intelligence\n• Debug and improve system performance across the full stack\n\nAbout You\n• 0-3 years’ experience in software engineering, embedded systems, or audio/ML\n• Strong academic background (top university preferred, A grades at A-Level\n\nExperience in the following would be advantageous but not essential\n• Coding skills (C/C++ and/or Python)\n• Understanding of audio processing / DSP fundamentals\n• Interest or experience in Audio ML, signal processing, or real-time systems\n• Comfortable working across hardware and software boundaries\n• Strong problem-solving ability and curiosity\n\nNice to Have\n• Experience with audio codecs, streaming, or real-time systems\n• Exposure to PyTorch / TensorFlow or ML pipelines\n• Familiarity with cloud platforms (AWS or similar)\n• Hardware exposure (e.g. embedded systems, sensors, or low-level interfaces)\n\nWhat We Offer\n• Competitive salary (flexible based on experience) + equity\n• Visa sponsorship available (international candidates welcome)\n• In-person, highly collaborative working environment\n• Opportunity to shape a core product capability in a scaling startup\n\nApply Now\n\nIf you’re excited by building real-world systems at the intersection of audio, embedded engineering, and AI, we’d love to hear from you.\n\nKeywords: Audio Engineer, DSP Engineer, Embedded Software Engineer, Audio ML Engineer, Signal Processing Engineer, Edge AI Engineer",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773792000,
  "job_posted_at_datetime_utc": "2026-03-18T00:00:00.000Z"
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