4 days ago
Austin, TX, USA or Santa Clara, CA, USASenior / Staff+
H1B sponsor
Base Salary
$132k - $197k/yr
Responsibilities
- Administer and operate AI security platforms with preventive and detection policies governing AI usage and data protection.
- Assess AI assets across SaaS, cloud, endpoints, and infrastructure for misconfigurations, excessive permissions, and policy gaps.
- Deploy runtime protections against prompt injection, data leakage, jailbreaks, and malicious content.
- Enforce identity controls and guardrails for human and autonomous AI agents, including model integrity validation.
- Use AI observability telemetry to identify anomalous behavior and policy violations and drive remediation.
- Collaborate with GRC, IAM, IT, AppSec, Security Architecture, Endpoint, Identity, and SecOps teams on AI security requirements and standards.
- Track and report security posture trends and risk reduction progress to leadership and business stakeholders.
Requirements
- 5 to 8 years of cybersecurity engineering experience with hands-on enterprise security platform deployment and operation.
- Experience with AI and ML risks including data exposure, shadow AI, prompt injection, supply chain risk, and model integrity.
- Hands-on experience with AI security platforms such as Palo Alto Prisma AIRS, Cisco AI Defense, Protect AI, Lakera, or Wiz AI Security.
- Familiarity with EDR, SIEM, DLP, SOAR, and NGFW platforms.
- Experience securing AI workloads across GCP, AWS, Azure, and SaaS environments.
- Familiarity with LLM gateways, MCP frameworks, RAG architecture, agentic workflow platforms, agent identity, token management, RBAC, and SSO.
- Experience with Claude, ChatGPT, Gemini, Cursor, Claude Code, or GitHub Copilot.
- Experience contributing to or owning technical security standards or control frameworks and influencing remediation across teams.
- Strong communication skills for technical, executive, and audit audiences.
- Familiarity with NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, policy as code, and data governance tooling.
- Experience in semiconductor, hardware, or high-IP technology environments is preferred.
- Background in detection engineering, security architecture, security operations, AI red teaming, or adversarial machine learning is preferred.
- Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field; a master’s degree and cybersecurity or cloud certifications are preferred.
Benefits
- Expected base pay is $131,540–$197,000 per annum, with eligibility for bonus and equity plans including new-hire equity and annual refreshers.
- Benefits include an employee stock purchase plan with a two-year lookback, family support programs, mental health resources, and recognition and service awards.
Tech Stack
Categories
About Marvell
Marvell designs and sells semiconductors for data infrastructure, including Ethernet switching and PHYs, optical and 5G connectivity, storage controllers, and custom compute silicon (ASICs/DPUs) used by cloud providers, telecom carriers, and enterprise OEMs. Its business model centers on selling chips and platform solutions and co-developing custom silicon with major customers. Founded in 1995 and headquartered in Santa Clara, it is a public company traded on NASDAQ (MRVL).