AI SoC Security Architect

Majestic Labs ai; Los Altos (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Majestic Labs ai in Los Altos is seeking a skilled professional to architect and implement security architectures for cutting-edge AI inference systems. The ideal candidate will have 10+ years of experience in hardware security architecture and a proven track record of leading cross-functional teams.

The role demands a strong background in Security-by-Design principles, with hands-on experience in programming and debugging in C/C++, Python, and assembly. Join us to drive innovation in secure AI technologies.

Qualifications

• 10+ years of proven track record in hardware security architecture or embedded security engineering.
• Strong programming and debugging fundamentals in C/C++, Python, and assembly.
• Deep understanding of Confidential Computing concepts and privilege isolation.

Responsibilities

• Research, design, and deliver hardware-and-software security architectures for AI Inference Systems.
• Own the validation and rollout of the SoC Hardware Root of Trust and secure boot processes.
• Lead implementation of security features through to customer deployment.

Skills

Security-by-Design principles

C/C++ programming

Python

Low-level firmware experience

Cross-functional teamwork

Education

BSc, MS, or PhD in Electrical Engineering

Equivalent experience

Job description

About Majestic-Labs

Majestic-Labs is a leader in accelerated computing, driving innovation across industries with groundbreaking technologies in AI, graphics, and high-performance computing.

What You'll Be Doing (Execution & Delivery)

• 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 microarchitectural 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: What We Need To See (Core Skillset)

• 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.

Ways To Stand Out From The Crowd

• 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).