Full-stack Software Engineer

Omnisent; München; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

A leading company in Munich is looking for a Software Engineer to help build innovative acoustic sensing technology. You'll design backend systems for real-time analysis, deploy ML models, and work with cloud platforms to transform how industries utilize sound data. This on-site role requires substantial experience in software development and cloud solutions, particularly using Azure.

Qualifikationen

• 5+ years in backend or full-stack software development.
• 2+ years with Azure tools.
• Experience deploying ML models.

Aufgaben

• Build backend services for acoustic data ingestion.
• Develop APIs for model outputs.
• Implement cloud architecture for scalable data processing.

Kenntnisse

Cloud Platforms

Backend Development

Software Development

Data Streaming

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Azure

Docker

Jobbeschreibung

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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.

Tasks

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
• 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. WebSocket 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

Requirements

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

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

Valid EU work permit and physical presence in Germany (this is an on-site role in Munich)

Fluency in English

Preferred Qualifications:

Master’s degree in a technical discipline (e.g., Computer Science, Software Engineering, or a related field)

Familiarity with containerized deployment (Docker, CI/CD integration)

Familiarity with authentication and access control mechanisms (e.g., OAuth, JWT)

Background in monitoring or alerting systems (e.g. logging, metrics, uptime checks)

Structured, proactive problem-solver with strong technical skills and the ability to work independently and collaboratively

Join us in redefining how the world listens, understands, and responds through intelligent acoustic sensing.

In your cover letter, we’d love to hear about your personal interests, what drives you, why this role feels like the right fit — and most importantly, why 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.