TL;DR

Embedded AI Platform Security Engineer: Design and implement security solutions for ML models on embedded hardware with an accent on secure execution environments and enclaves. Focus on developing secure boot, firmware integrity, runtime hardening, and model protection using TEEs and secure enclaves.

Location: Gratkorn, Bucharest, Eindhoven, Leuven, Glasgow (onsite)

Company

%hirify_global% is a global corporation specializing in semiconductor solutions including embedded AI and security technologies.

What you will do

Develop secure boot and firmware integrity mechanisms for AI-enabled embedded platforms.
Implement runtime hardening and isolation for ML workloads.
Enable model protection using Trusted Execution Environments (TEE) and secure enclaves.
Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices.

Requirements

Location: Must be based in or willing to work onsite in Gratkorn, Bucharest, Eindhoven, Leuven, or Glasgow
Background in Computer Science, Cybersecurity, Cryptography with interest in applied ML, or background in Machine Learning with interest in cybersecurity.
Experience in embedded programming (C/C++, Rust).
Understanding of secure boot, firmware integrity, and runtime security.
Familiarity with TEEs, TPM integration, and secure enclaves.
Knowledge of cryptographic primitives for integrity and confidentiality.

Culture & Benefits

Work in an innovation team exploring cutting-edge concepts at the intersection of ML and security.
Opportunity to develop forward-looking security solutions integrated into edge products.
Hands-on environment with focus on prototyping and applied research.