We are looking for a Software Developer to integrate AI/ML components into our product software stack, including hybrid cloud/on-prem and air-gapped environments. This role requires strong coding skills and a good understanding of ML concepts to ensure seamless interaction between models and product systems in power-constrained settings.
Your tasks
* Implement AI/ML functionality (e.g., APIs, SDKs) in Python/C++ for integration into product software, including hybrid cloud/on-prem and edge deployments
* Collaborate with the AI engineering team to translate prototypes into deployable, production ready code which meets the requirements of various target systems
* Ensure compatibility with the product platform (e.g., data formats, performance constraints) for edge and hybrid environments
* Write clean, maintainable code with rigorous testing and documentation for edge and constrained systems
* Troubleshoot integration issues and optimize code for energy efficiency and real-time performance
Your qualifications
* BS in Computer Science, Software Engineering, or a related field.
* 3+ years of software development experience (Python, C++)
* 3+ years of experience in hybrid cloud/on-prem integration
* Experience in integration of Datastores (S3, NoSQL, SQL etc.)
* Experience integrating ML models into edge or power-constrained systems (e.g., embedded software, IoT devices)
* Strong proficiency in Python/C++ and software design patterns
* Good understanding of edge AI deployment (e.g., model inference on microcontrollers). rid cloud/on-prem integration (e.g., Azure IoT Edge, REST APIs, GitOps, Docker, Kubernetes, OpenSshift, Secrets, RBAC)
* A mindset towards product mature code, attention to detail and quality
* Ability to work in a high collaborative environment also across location boundaries
* Willingness and ability to learn domain-specific concepts (e.g., signal processing or spectrum monitoring)
* Background in embedded systems or real-time software development is nice to have
* Very good English language skills, German language skills would be a plus
Interested?
We are looking forward to receiving your application! Ideally, you should apply online with the reference number. If you have any questions, please feel free to contact your recruiting contact via LinkedIn or XING.
Equal opportunities are important to us. We are looking forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number: 15303
Recruiting contact: Jun-Ho Song