Senior Embedded Security Engineer – AI & Edge Platforms
(m/f/d)
Freiberuflich für ein Projekt in Teilauslastung Gratkorn Start date: asap Reference number: 871424/1
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Responsibilities
1. Design and implement secure boot and firmware integrity mechanisms for AI-capable embedded platforms
2. Develop and apply runtime hardening and isolation strategies for machine-learning workloads
3. Enable model protection using Trusted Execution Environments (TEE), secure enclaves, or comparable trust technologies
4. Ensure the secure loading, verification, and execution of ML models on edge devices
5. Contribute to security architecture decisions covering the full stack from firmware to application runtime
6. Collaborate with platform, architecture, and research teams to evolve prototype solutions into reusable technical concepts
Profile
7. Strong background in Embedded Systems, Cybersecurity, or Cryptography with a clear interest in applied Machine Learning or Background in Machine Learning with a strong focus on system-level or platform security
8. Solid hands-on experience in embedded software development using C/C++ (Rust is a plus but not mandatory)
9. In-depth understanding of secure boot, firmware security, and runtime protection mechanisms
10. Experience with, or strong interest in, Trusted Execution Environments (TEE), secure enclaves, TPM/HSM-like components
11. Basic familiarity with machine-learning model formats and deployment workflows on embedded or edge platforms
12. Sound knowledge of cryptographic primitives and their application for integrity, authenticity, and confidentiality
Benefits
13. Freelance / contract-based engagement
14. Innovation-driven, prototype-focused environment
15. High technical depth with emphasis on security engineering rather than product maintenance
16. Well suited for senior engineers or consultants with a strong embedded and security background looking to work in an AI context