Full-stack Software Engineer

Join to apply for the Full-stack Software Engineer role at Omnisent

Join to apply for the Full-stack Software Engineer role at Omnisent

Omnisent is pioneering scalable acoustic sensing powered by AI — transforming audio into real-time intelligence.

We build hardware + software tailored for acoustic data, designed to extract insights from complex acoustic signals. Our proprietary ultra-low-power sonic devices capture and process acoustic signals in real-time, training what we call a Large Acoustic Model (LAM) — our foundation model built to decode the rich, messy, and untapped world of non-speech audio.

We’re starting with the manufacturing industry, applying our tech to compressed air systems — one of the most overlooked sources of energy waste. From there, we’re expanding into energy, defense, space, and smart cities — sectors where sound is the next frontier.

Please note: This is an on-site position in Munich. Applicants must have a valid EU work permit and be available to work from our Munich office.

Omnisent is pioneering scalable acoustic sensing powered by AI — transforming audio into real-time intelligence.

We build hardware + software tailored for acoustic data, designed to extract insights from complex acoustic signals. Our proprietary ultra-low-power sonic devices capture and process acoustic signals in real-time, training what we call a Large Acoustic Model (LAM) — our foundation model built to decode the rich, messy, and untapped world of non-speech audio.

We’re starting with the manufacturing industry, applying our tech to compressed air systems — one of the most overlooked sources of energy waste. From there, we’re expanding into energy, defense, space, and smart cities — sectors where sound is the next frontier.

Please note: This is an on-site position in Munich. Applicants must have a valid EU work permit and be available to work from our Munich office.

Data Ingestion & ML Inference

• Build backend services to ingest acoustic data from edge devices/gateways into the cloud
• Deploy trained ML models to run inference on real-time acoustic signals
• Develop APIs to expose model outputs (leak alerts, sensor characteristics) for use in frontend applications

System Architecture & Cloud Infrastructure:

• Design and implement cloud architecture for scalable data ingestion, real-time processing, and model deployment (Azure preferred)
• Configure storage strategies for raw sensor data and processed inference outputs
• Set up logging, monitoring, and alerting mechanisms to ensure system reliability and observability
• Implement secure user authentication and access control

Frontend Development & Data Visualization:

• Develop a real-time web dashboard showing live leak alerts, leak locations and sensor status
• Implement live update mechanisms (e.g. Web Socket or SSEs) to stream insights as data arrives
• Build visualizations for data trends, model outputs, and sensor diagnostics
• Collaborate with embedded and ML engineers to develop a digital-twin for real-time leakage classification

Basic Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or 2+ years of relevant industry experience

• 5+ years experience in backend or full-stack software development

• Strong coding skills in Python and JavaScript/Type Script or similar languages

• 2+ years of experience with cloud platforms (preferably using Azure tools: IoT hub, Azure functions, Azure ML, Blob Storage, etc.)

• Experience deploying ML models in real-time systems and working with streaming data (e.g. using MQTT, SSE, etc)

• Familiarity with ML model packaging formats such as TorchScript, ONNX, or similar

• Experience building interactive dashboards using modern frontend frameworks (e.g., React, Svelte) and core web technologies…