Software Engineer - AI Solutions (m/f/d)

Rohde & Schwarz GmbH & Co.; Dresden; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Rohde & Schwarz GmbH & Co. seeks a software engineer to turn ML prototypes into production-ready software for edge and embedded targets.

You will implement Python APIs, SDKs, and integration components to enable AI-enabled product software with strict latency and resource requirements. You will optimize inference and middleware, write well-tested, documented code, and collaborate with MLOps, data, and product teams on deployment, monitoring, and release automation.

Qualifikationen

• Experience implementing Python APIs, SDKs, and integration components.
• Proven ability to transform ML/LLM prototypes into production-ready software.
• Experience with testing and documentation for reliable software in edge/embedded environments.

Aufgaben

• Implement Python APIs, SDKs, and integration components for AI-enabled products.
• Transform prototypes into production-grade software meeting latency and resource constraints.
• Optimize inference and middleware for real-time edge/embedded targets.
• Write maintainable code with unit and integration tests and documentation.
• Collaborate with MLOps, data, and product teams on deployment and monitoring.

Kenntnisse

Python

APIs

SDKs

Integration components

Unit/Integration testing

MLOps collaboration

Documentation

Tools

CI/CD

Edge/Embedded middleware

Jobbeschreibung

Introduction

You turn AI prototypes into production-ready software that works reliably worldwide.

Tasks

• You implement Python APIs, SDKs, and integration components so that product software can leverage AI capabilities.
• You transform ML, LLM, and agent-based prototypes into production-ready software that meets performance, latency, and resource requirements.
• You optimize inference and middleware for real-time use on edge and embedded target systems.
• You write maintainable code with unit and integration tests as well as corresponding documentation.
• You analyze and resolve integration issues between model, middleware, and infrastructure.
• You collaborate with MLOps, data, and product teams on deployment, monitoring, and release automation.