Audio Software Engineer

Overview

Audio Software / Systems Engineer (Audio AI / ML / Embedded DSP)

About Antare: eDo you want to join the early stages of a technology company that’s got huge ambition and vision, as well as the backing to make it happen? At Antare, we’re utilising our industry knowledge to create innovative products that we believe will disrupt the market. This is a complete greenfield opportunity to be part of a product roadmap from day one, the rest remains in stealth.

The team founded Antare in 2024, comprising product designers and engineers - some of whom have worked together for over 15 years. Together, the companies we have built have been collectively acquired for billions of dollars: we have a genuine level of success under our belts that you could help to contribute to. Today, we’re a small, hands-on team spanning product design, finance, hardware, and software engineering.

What we can offer you This is a rare chance to join a startup at the very beginning - where your curiosity, ideas, and input will directly influence the product roadmap. You’ll work closely with a small, experienced team building and shipping real systems from day one. You’ll have a high degree of ownership and autonomy, and you’ll collaborate across hardware, embedded, cloud, and machine learning.

It’s a high-trust, low-ego environment where we move quickly, prototype often, and make pragmatic trade-offs to get to production. We also use modern tooling (including AI-assisted workflows) to stay focused and iterate fast and you’ll help shape the engineering foundations as we scale.

As an Audio Systems Engineer, you’ll own the end-to-end audio subsystem for a compact, low-power edge device and its supporting cloud pipelines. From real-time capture and on-device DSP through our cloud audio processing pipeline, you’ll deliver robust performance in noisy, unpredictable environments, balancing latency, compute, quality, and power. This role spans embedded systems, signal processing, and applied ML. We don’t expect you to be world-class in every area, we care most about a drive to create brilliant products that end users love, with strong technical judgement, and the ability to lead the subsystem end-to-end with support from the team.

Some of the technologies we use, and day-to-day tasks may include developing with:
Audio processing DSP blocks such as filtering, AGC/DRC, noise suppression, VAD, and echo control. Implementation of audio algorithms in resource constrained environments. Audio codecs and streaming/recording pipelines (e.g., Opus/AAC; RTP/WebRTC-like patterns). Python for analysis, evaluation tooling, and data exploration. Cloud pipelines for audio post-processing and ML integration (AWS or similar).

• Design, implement, and tune a robust end-to-end audio pipeline that performs reliably in noisy real-world environments.
• Implement and tune DSP components under tight resource constraints (e.g., filtering, AGC/DRC, noise suppression, VAD, echo control).
• Define objective metrics and build repeatable evaluation and regression testing harnesses (lab + field) to measure and improve performance over time.
• Debug audio issues across the full stack using instrumentation, logs, profiling, and (where helpful) lab equipment.
• Work with cloud/ML engineers to enable audio-based intelligence via offline and online processing pipelines.
• Collaborate with cross-functional teams to make pragmatic trade-offs across quality, latency, compute, power, and system complexity.
• Contribute to a culture of continuous improvement: code review, documentation, engineering best practices, and design discussions.

• Proven experience shipping embedded audio systems (or major audio subsystems) into production (e.g.,…