Senior Security Engineer – Inference Cloud

Responsibilities

• Designing and implementing runtime security controls that protect inference execution environments against adversarial inputs, model extraction, and unauthorized access
• Conducting threat modeling and security assessments of inference serving frameworks, model loading pipelines, and GPU execution environments
• Hardening model serving infrastructure including container isolation, runtime sandboxing, and supply chain integrity for model artifacts and dependencies
• Developing automated security testing and monitoring for inference workloads to detect anomalous behavior, data exfiltration, and prompt-based attacks
• Collaborating with platform and model intelligence teams to establish security standards across the full inference lifecycle from model ingestion to production serving

Requirements

• Have relevant experience in this area
• Demonstrate hands‑on experience in application or infrastructure security engineering with a focus on runtime protection, threat modeling, or penetration testing
• Demonstrate knowledge of AI/ML inference architectures and address security challenges like model poisoning, prompt injection, and data leakage
• Have experience with container security, supply chain hardening, and secure deployment practices in cloud‑native environments
• Demonstrate proficiency in Python, Go, or C++ with experience building security tooling or automated vulnerability detection
• Show familiarity with security frameworks and compliance standards relevant to AI systems (e.g., OWASP ML Top 10, NIST AI RMF, FedRAMP)