Your profile:
Required:
- Proven expertise in architecting complex software systems for embedded environments, with a focus on scalability and AI integration.
- Proficiency in Linux-based systems (e.g., Yocto Project) and secure software development for embedded platforms.
- Experience in AI frameworks and tools (e.g., TensorFlow, PyTorch) and understanding of ML model deployment on edge devices.
- Advanced knowledge of OT cybersecurity, including secure boot, encryption, and compliance standards like NIS 2.
- Strong background in systems integration, networking protocols, and automation processes.
Preferred:
- Experience with cloud-edge hybrid architectures and containerized solutions (e.g., Docker, Kubernetes).
- Knowledge of real-time operating systems and virtualization for embedded systems.
- Proficiency in programming languages like C++, Python, and Rust for secure and efficient development.
- Familiarity with AI ethics, responsible AI practices, and cybersecurity frameworks such as ISO 27001.