Audio Systems Embedded Software Engineer (DSP/ Machine Learning) in London
8 Days Old
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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?
We’re an early-stage, well-funded technology company building a next- 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 , 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
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
- Location:
- London
- Job Type:
- FullTime
- Category:
- Engineer, Software Engineer, Systems, Embedded Software, Engineering, Systems Engineering, Software
