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Audio Software Systems Engineer (Audio AI / ML / Embedded DSP ) About Antare Join Antare as we go to market. We’ve been busy building the physical security intelligence platform of the future. Our always-connected platform automatically detects risks, captures evidence and reports on real-world events as they happen, delivering intelligent insights through an intuitive user interface, all hosted in the cloud. Our product is designed so commercial organisations - including, but not limited to, private security, retail, and hospitality - never miss an incident. The Antare founding team of product designers and engineers have together built companies that 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 growing, hands-on team spanning product, design, finance, marketing, sales, hardware, and software engineering. What we can offer you This is a rare chance to join the early stages of a startup - where your curiosity, ideas, and input will directly influence the product roadmap. You’ll be working closely with a small, experienced engineering team, building real features in a modern frontend codebase from day one. We care deeply about helping early-career engineers grow fast and with confidence. You’ll benefit from hands-on mentorship, regular feedback, and the chance to pair with engineers who’ve built products at scale. It’s a high-trust, low-ego environment designed to help you accelerate your skills while contributing meaningfully. We’re using modern technology stacks across our infrastructure and frontend, and AI-assisted tooling to move fast and stay focused - and you’ll be an integral part of shaping both the user experience and the engineering foundations as we scale. Role Overview 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) What we’re looking for Proven experience shipping embedded audio systems (or major audio subsystems) into production. (e.g. (embedded device, comms, consumer hardware, wearables, robotics, automotive, etc). Strong fundamentals in audio/DSP and hands-on tuning experience (e.g. AGC/DRC, filters, noise suppression; AEC/beamforming are a plus). Strong coding skills in C/C++, and comfort working with real-time and performance constraints. Strong problem-solving skills and ability to work in a fast-paced startup environment. Excellent communication and collaboration abilities. You can work effectively with hardware, embedded, and ML/cloud engineers. Practical experience using Python (or similar) for analysis, benchmarking, and evaluation tooling. Bonus points if you have: Hardware-adjacent experience (e.g., I2S, ADC/DAC, DMA, SPI/I2C/UART, oscilloscopes/logic analysers). Microphone/speaker component selection or aco