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.