AI Security Engineer

NXP Semiconductors; Austin (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

NXP Semiconductors is seeking an AI Security Engineer to secure ML, GenAI, and agentic AI solutions across enterprise environments, aligning with NXP security standards. You will identify and mitigate risks from LLMs, retrieval systems, AI agents, and integrations, working with solution teams, cloud security, and architecture.

The role covers security assessments, runtime controls, secure development practices, and governance discussions.

Qualifications

• Bachelor’s degree in computer science, cybersecurity, engineering, IT, or related field.
• 5+ years in cybersecurity, application security, cloud security or related engineering roles.
• 2+ years securing AI/ML/GenAI applications or platforms.
• Experience with SSDLC and cloud-native security practices.

Responsibilities

• Conduct AI/ML/GenAI security assessments across use cases and platforms.
• Implement AI runtime security controls, monitoring, and policy enforcement.
• Collaborate with engineering to embed secure DevOps in AI workflows.
• Support AI onboarding and security reviews for new initiatives.
• Assist with threat modeling and observability for AI systems.

Skills

AI security

Cloud security

Application security

Threat modeling

Secure coding

Incident response

Container security

API security

IAM & secrets

OWASP awareness

Education

Bachelor's degree in computer science or cybersecurity or related field

Master's degree preferred

Tools

AWS

Azure

Docker

Kubernetes

Job description

Role Summary

The AI Security Engineer at NXP Semiconductors will be responsible for securing Machine Learning (ML), Generative AI (GenAI), and Agentic AI solutions deployed across enterprise and engineering environments. This role focuses on identifying, assessing, and mitigating security risks associated with Large Language Models (LLMs), retrieval systems, AI agents, model integrations, AI-assisted development tools, and enterprise AI platforms. The AI Security Engineer will collaborate with AI solution teams, application teams, cloud/platform engineering, enterprise security, and architecture teams to ensure solutions are deployed securely and aligned with NXP security standards, risk management practices, and regulatory requirements.

The ideal candidate will have hands‑on experience in application security, cloud-native security, and secure software engineering practices, with strong understanding of AI‑related attack vectors such as prompt injection, insecure tool usage, model abuse, data leakage, retrieval poisoning, and insecure model integrations. This role will support AI security assessments, runtime security controls, AI security testing, and implementation of scalable security guardrails to enable secure enterprise AI adoption and AI-enabled engineering workflows.

Your Opportunity

NXP is a global player in Semiconductor industry, and security is an essential and integral part of our business.

Job Responsibilities

• AI Security Assessments Conduct security assessments for AI/ML/GenAI use cases and platforms Evaluate AI systems for risks related to prompt injection, insecure outputs, data leakage, unsafe tool execution, model misuse, and retrieval poisoning Review AI integrations involving APIs, plugins, MCP servers, external tools, vector databases, and enterprise data sources Support threat modeling activities for AI-powered applications and agentic workflows
• AI Runtime Security and Control Implementation Support the implementation of AI runtime security controls, monitoring, and policy enforcement mechanisms Assist in securing AI gateways, inference endpoints, and AI service integrations Help define security guardrails for prompts, agent execution, and model interactions Contribute to observability and monitoring capabilities for AI systems, including logging, auditing, and anomaly detection
• Secure AI Development and Engineering Practices Collaborate with engineering teams to integrate secure development practices into AI/ML/GenAI workflows Support secure deployment and configuration of AI applications across cloud and enterprise environments Assist with validating secure use of AI coding assistants and AI-enabled development tools
• Collaboration and Stakeholder Engagement Collaborate with Enterprise Architects, Application Security teams, Cloud Security teams, Data Scientists, AI Engineers, and Business stakeholders Support AI onboarding and security review processes for new AI initiatives and platforms Provide security guidance and recommendations to development and product teams Participate in discussions related to AI governance, risk management, and enterprise AI adoption
• Risk Management and Compliance Support implementation of controls aligned with industry frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, and secure AI engineering best practices Identify and support remediation of security risks associated with AI systems, models, datasets, and third-party AI services Assist in evaluating AI solutions for compliance with internal security requirements and applicable regulations Support security investigations related to AI systems and integrations

Job Qualification

• Desired Education Bachelor’s degree in computer science, Cybersecurity, Engineering, Information Technology, or a related field
• Advanced degrees such as Masters are preferred
• Professional Experience 5+ years of experience in Cybersecurity, Application Security, Cloud Security, or related engineering roles
• 2+ years of experience supporting or securing AI/ML/GenAI applications or platforms
• Experience with secure software development lifecycle (SSDLC), application security, and cloud-native security practices
• Experience with AI/ML platforms, APIs, orchestration frameworks, or AI-assisted development environments
• Familiarity with cloud platforms such as AWS, Azure.

Technical Skills

• Understanding of AI/ML/GenAI concepts including LLMs, RAG architectures, embeddings, vector databases, and AI agents
• Knowledge of AI-related attack vectors and security risks including prompt injection, indirect prompt injection, insecure tool access, and model abuse
• Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF concepts
• Knowledge of container security, API security, IAM, secrets management, and cloud security fundamentals
• Understanding of secure coding and software security principles

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities
• Ability to manage multiple initiatives in a fast-paced environment

Certifications (Preferred)

• AI/ML-related and cybersecurity certifications are considered a plus

More information about NXP in the United States

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

About NXP Semiconductors N.V.

(NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment

At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.