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

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