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Marvell

High-performance semiconductor solutions for data infrastructure

Senior Cybersecurity AI Compliance Analyst

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in cybersecurity, computer science, information systems, or a related field, or equivalent experience.
  • Five to eight years of experience in cybersecurity, information technology risk management, security compliance, or a related field.
  • Familiarity with artificial intelligence and machine learning concepts and how models are developed, trained, deployed, and integrated into production systems.
  • Strong understanding of security frameworks and standards, including NIST Cybersecurity Framework, ISO/IEC 27001, SOC 2, NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 27017, and emerging AI-specific security regulations.
  • Working knowledge of common AI/ML security threats, including adversarial attacks, data poisoning, model extraction, and prompt injection, and general security domains such as identity and access management, network security, and data protection.
  • Experience developing and maintaining risk and controls matrices for security controls, including AI-focused controls.
  • Experience developing testing procedures, executing audits, documenting findings, aligning findings with cross-functional stakeholders, developing risk management actions, providing timely updates, and communicating summary testing reports.
  • Strong written and verbal communication skills to explain technical security and regulatory concepts to varied audiences.
  • Strong analytical skills and attention to detail.

Responsibilities

  • Monitor and interpret emerging AI security regulations and standards, including EU AI Act security provisions, NIST AI Risk Management Framework, NIST Cybersecurity Framework, ISO/IEC 42001, and ISO/IEC 27001, and translate requirements into actionable internal policies.
  • Review AI plug-ins, agents, MCP connectors, and third-party AI APIs, including semiconductor EDA/AI design tools, against security standards before integration into the company environment.
  • Conduct security risk assessments and audits of AI models, pipelines, and infrastructure to identify vulnerabilities and compliance gaps.
  • Plan cybersecurity assessments and execute testing, including developing testing procedures, executing audits, documenting findings, aligning findings with cross-functional stakeholders, developing risk management actions, providing timely updates, and communicating summary testing reports.
  • Assess AI systems for exposure to adversarial threats such as prompt injection, model poisoning, data exfiltration, model extraction or theft, and evasion attacks.
  • Partner with security engineering, MLOps, data science, legal, and product teams to embed security and compliance checkpoints throughout the AI development lifecycle.
  • Maintain AI security governance documentation, including threat models, risk classifications, security impact assessments, and audit trails.
  • Review access controls, data-handling practices, and third-party/vendor AI tools for compliance with data protection and security requirements.
  • Support internal and external security audits, regulatory inquiries, penetration-test follow-up, and certification processes such as SOC 2 and ISO 27001.
  • Develop and deliver training materials to help staff understand AI-specific security risks and compliance obligations.
  • Track remediation efforts for identified findings and compliance issues, and report status and risk posture to leadership.
  • Stay current on the threat landscape, industry best practices, enforcement trends, and incident case studies related to AI security.

About the Company

Marvell

High-performance semiconductor solutions for data infrastructure

Marvell Technology, Inc. creates high-performance semiconductor products that power data infrastructure for telecommunications operators, data centers, and enterprises. Its offerings span computing, storage, and networking to enable efficient, secure data transmission, storage, and processing. The products are programmable and scalable platforms designed for high bandwidth and strong security, supporting 5G networks and the broader digital economy. Revenue comes from designing, manufacturing, licensing, and providing related services to other businesses that integrate these components into their own products. Unlike many peers, Marvell emphasizes programmable, scalable platforms tailored to data infrastructure needs and long-term partnerships with enterprise and telecom customers. The company aims to help customers upgrade their networks and data systems to increase capacity, performance, and efficiency while expanding its own business in the data infrastructure space.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1995

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