Sr. Security Architect

Job Details: Job Description: We are seeking a  Sr. Security Architect to drive  security architecture for Client and Data Center SoCs , with a primary focus on  using  AI ‑ driven  tools to  build Specifications, Code,  Test, and  analyze security vulnerabilities at scale . This role defines how  modern AI techniques are applied to security  systems across firmware and  low ‑ level  system hardware/software—augmenting and surpassing traditional manual  development and  review. The successful candidate is a recognized technical expert who can combine  deep SOC/Platform security  expertise with  hands ‑ on  use of  AI ‑ based  analysis tools to  build, test and  uncover real security flaws, systemic risks, and  cross ‑ layer  attack paths early in the product lifecycle. Key Responsibilities Serve as the  technical lead for  SOC security architecture across Client and Data Center SOC/platform Definition: Boot ROMs, secure and measured boot flows Hardware–firmware–OS chains of trust AI Accelerator Security for Client NPU Lead security discovery using  AI ‑ based  analysis tools , with explicit responsibility for: Identifying  firmware and  low ‑ level  vulnerabilities at scale Discovering insecure coding patterns and flawed design assumptions Uncovering  cross ‑ layer  attack paths spanning silicon, firmware, and system software Apply  AI ‑ assisted  code reasoning and  large ‑ scale  analysis to: Rapidly analyze large firmware and platform codebases Explore edge cases, rare failure modes, and adversarial scenarios Assess security impact of design choices and implementation tradeoffs Drive  firmware ‑ focused  threat modeling , enhanced by AI tools that broaden coverage,  identify  emergent risks, and reduce reliance on manual enumeration alone. Define and own  firmware security architecture specifications , informed directly by insights from  AI ‑ driven  security discovery rather than policy or  checklist ‑ only  approaches. Partner deeply with  SoC architects, silicon designers, firmware engineers, and OS/virtualization teams to translate discovered risks into concrete mitigations and architectural guidance  and specifications . Shape platform and product security roadmaps by  identifying systemic firmware and SoC risks revealed through  AI ‑ scale  analysis across multiple products and generations. Mentor senior engineers and architects, setting  best practices for  AI ‑ enabled  security discovery, analysis, and review . What Success Looks Like: Client and Data Center SoCs ship with  resilient firmware security architectures grounded in real analysis . AI ‑ driven security capabilities definition becomes a  core pillar of firmware and SoC security practice , not a supplemental tool across multiple domains. (PMC, ESE, Punit, MCHECK  etc ) Firmware and platform security issues are  systematically discovered earlier , with broader and deeper coverage than traditional review methods. Engineering teams rely on this role as the  authoritative voice on firmware security and AI ‑ enabled security discovery strategies . Other Work Location: Israel Qualifications: Qualifications: Bachelor’s or  Master’s degree in Computer Science , Computer Engineering, Electrical Engineering, or equivalent experience. Extensive experience (typically 10 years) in  Client and/or Data Center platform or firmware security architecture . Hands ‑ on  experience  of 2  years  using  AI ‑ based  tools specifically for  code generation and  security discovery , such as: AI ‑ assisted  static and semantic code  generation and  analysis Automated vulnerability discovery and reasoning over complex code paths dentification of insecure patterns and architectural weaknesses using AI 5 years system ‑ level  programming skills (e.g., C/C, Rust) and security automation , validation  (e.g., Python)  . Preferred Qualifications Experience defining  SoC, IP, or platform architecture specifications  consumed across multiple ... (truncated, view full listing at source)