AI SoC Security Architect at Majestic Labs

Job description

Description We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training. Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us! About the position • Architect & Implement: Research, design, and deliver hardware-and-software security architectures for our next-generation AI Inference Systems, ensuring alignment with global security standards. • Root of Trust & Boot: Own the micro architectural definition, validation, and rollout of the SoC Hardware Root of Trust (RoT) and secure boot processes. • Confidential Computing & Isolation: Apply advanced hardware primitives to implement secure software compartmentalization, isolating critical AI assets and model IPs from multi-tenant threats. • Secure Software Embedding: Collaborate directly with software and research teams to embed secure firmware, model-protection mechanisms, and open-source security frameworks into the silicon platform. • Threat Modeling: Build and execute data-driven threat models to identify, validate, and mitigate hardware and low-level firmware vulnerabilities. • Cross-Functional Ownership: Lead security feature implementation from conceptual modeling and emulation through to customer deployment and threat resolution. Requirements • Education: BSc, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience. • Experience: 10+ years of proven track record in hardware security architecture, silicon design, or embedded security engineering. • Secure System Building: Deep, practical understanding of "Security-by-Design" principles, privilege isolation, and Confidential Computing concepts. • Firmware & Low-Level Dev: Strong programming and debugging fundamentals in C/C++, Python, and assembly (e.g., ARM) with hands-on experience in low-level firmware and embedded systems. • Execution & Teamwork: A proven track record of leading complex technical features across diverse, cross-functional teams, backed by excellent communication skills. Preferred Qualifications • Direct experience with Linux security primitives, secure hypervisors, or microkernel architectures. • Background in high-performance networking security (RDMA, TCP/IP, TLS/IPSec) • Experience mitigating AI-specific hardware threats (e.g., side-channel analysis, fault injection). We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges. Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!

Requirements

Must-haves

Architect & Implement: Research, design, and deliver hardware-and-software security architectures for our next-generation AI Inference Systems, ensuring alignment with global security standards.
Root of Trust & Boot: Own the micro architectural definition, validation, and rollout of the SoC Hardware Root of Trust (RoT) and secure boot processes.
Confidential Computing & Isolation: Apply advanced hardware primitives to implement secure software compartmentalization, isolating critical AI assets and model IPs from multi-tenant threats.
Secure Software Embedding: Collaborate directly with software and research teams to embed secure firmware, model-protection mechanisms, and open-source security frameworks into the silicon platform.
Threat Modeling: Build and execute data-driven threat models to identify, validate, and mitigate hardware and low-level firmware vulnerabilities.
Cross-Functional Ownership: Lead security feature implementation from conceptual modeling and emulation through to customer deployment and threat resolution.
Education: BSc, MS, or PhD in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
Experience: 10+ years of proven track record in hardware security architecture, silicon design, or embedded security engineering.
Secure System Building: Deep, practical understanding of "Security-by-Design" principles, privilege isolation, and Confidential Computing concepts.
Firmware & Low-Level Dev: Strong programming and debugging fundamentals in C/C++, Python, and assembly (e.g., ARM) with hands-on experience in low-level firmware and embedded systems.
Execution & Teamwork: A proven track record of leading complex technical features across diverse, cross-functional teams, backed by excellent communication skills.

Nice-to-haves

Direct experience with Linux security primitives, secure hypervisors, or microkernel architectures.
Background in high-performance networking security (RDMA, TCP/IP, TLS/IPSec)
Experience mitigating AI-specific hardware threats (e.g., side-channel analysis, fault injection).

Application prep

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Keywords to mirror

aipython

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