Audio Systems Embedded Software Engineer (DSP / 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.