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Sr. Security Architect
Job in
Hillsboro, Washington County, Oregon, 97104, USA
Listed on 2026-07-15
Listing for:
Intel Corporation
Full Time
position Listed on 2026-07-15
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
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 trustAI Accelerator Security for Client NPULead 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 pathsdentification of insecure patterns and architectural weaknesses using AI5+ 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 teams or products.
Proven track record of discovering or preventing critical firmware or platform ‑ level security issues before production.
Experience scaling AI ‑ driven security discovery across large, shared firmware or platform codebases.
Familiarity with Client and Data Center security technologies, including…
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