Job Description - AI Security Engineers Proven experience in AI security engineering, machine learning, or cybersecurity research. Deep understanding of cybersecurity attack vectors (e.g., CAN Bus attacks, ECU tampering, replay attacks, brute-force hacks). And concepts especially the CIA triad Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn for AI model development. Hands-on experience with penetration testing, red teaming, or security research. Strong knowledge of automotive security standards (e.g., ISO 21434, NHTSA guidelines). Experience deploying AI security models on embedded or edge devices. Preferred Skills: Experience with Linux security hardening (preferably Kali Linux or custom kernels). Hands-on expertise in blockchain analytics or AI-driven fraud detection. Familiarity with V2X security and encrypted vehicle-to-vehicle (V2V) communications. Understanding of homomorphic encryption & federated learning for secure AI training
Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.