Majestic Labs AI Logo

Majestic Labs AI

AI SoC Security Architect

Posted 9 Days Ago
Be an Early Applicant
In-Office
Los Altos, CA, USA
Expert/Leader
In-Office
Los Altos, CA, USA
Expert/Leader
Designs and implements hardware and software security architectures for AI inference systems. Owns hardware root of trust, secure boot, confidential computing, isolation, embedded firmware security, model protection, and threat modeling. Leads security features from architecture and emulation through deployment and remediation, collaborating across hardware, software, and research teams. Requires extensive hardware security, silicon, embedded systems, low-level firmware, and security engineering experience.
The summary above was generated by AI
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!

Similar Jobs

16 Minutes Ago
Remote or Hybrid
San Francisco, CA, USA
154K-257K Annually
Senior level
154K-257K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build Superhuman Mail’s AI platform, including MCP tools and standards, agentic workflows, personalization, LLM evaluation systems, and model-selection strategies. The role involves shipping production LLM features, partnering across teams on reusable AI capabilities, and potentially shaping data collection and modeling approaches. Engineers will work primarily with backend systems and applied AI while adapting quickly to evolving technologies and product priorities.
Top Skills: AnthropicAWSGoKubernetesLlmsMcpOpenaiPostgresPythonRedisTurbopufferTypescript
20 Minutes Ago
Hybrid
Pleasanton, CA, USA
222K-278K Annually
Senior level
222K-278K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Leads the design, development, testing, deployment, and scaling of cloud-based backend platforms, distributed services, data integrations, APIs, and microservices. Drives architecture and technical decisions, ensures software quality and security, mentors engineers, conducts code reviews, researches technologies, and supports maintenance and releases. Builds extensible connectors for ERP, banking, payments, tax, and subledger systems while optimizing data transfer scalability and reliability.
Top Skills: Api GatewayAWSAzureC#C++Erp SystemsETLEvent-Driven ArchitectureGCPIdentity ManagementJavaJob SchedulingKafkaMicroservicesMicrosoftNetSuiteNoSQLOracleRabbitMQRestful ApisSAPSearchSQLWorkflow Orchestration
32 Minutes Ago
Easy Apply
Hybrid
Palo Alto, CA, USA
Easy Apply
0-0 Annually
Entry level
0-0 Annually
Entry level
Big Data • Cloud • Software • Database
Executive Assistant role with responsibilities and qualifications not provided. The posting is for U.S.-based candidates and includes a stated base salary range of $0.01 to $0.01, along with potential equity, benefits, paid leave, retirement, and health support.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account