Job Summary
As an individual contributor in the Functional Safety Competence Center, you will help make AI-based systems safe, certifiable, and deployable. You will apply your knowledge of emerging AI safety standards to identify risks in NXP’s AI strategies and use your engineering expertise and creativity to develop solutions that preserve business value while reducing safety risk. Your rigor and experience in AI alignment, interpretability, and robustness will enable you to take ownership and deliver solutions at pace.
Your first mission will be to help define, architect, and scale the AI Tool Evaluation activity across multiple business lines. As the activity matures, you will contribute to both evaluation methods and tool development. The resulting expertise will also support innovation activities in which informed risk-taking is encouraged while safeguarding NXP’s interests and safety.
Responsibilities
Collaborate with experts across NXP to architect, deploy, and scale AI Tool Evaluation activities within NXP’s development flow.
Collaborate with the enablement team to integrate the requirements and guidance of standards such as ISO/PAS 8800 and ISO/TS 22440 into NXP’s development processes.
Contribute technical expertise to Safety and AI innovation projects, including projects that evaluate the use of LLMs in corporate environments.
Apply model validation, robustness checks, fault injection, and runtime safety mechanisms for corporate AI tools.
Provide structured, execution-based feedback and recommendations to the Safety and AI roadmap owner.
Experience
At least five years of experience architecting, designing, and validating AI tools in a corporate environment.
Practical involvement with or working knowledge of ISO/PAS 8800 and ISO/TS 22440.
Deep knowledge of ISO 26262 or IEC 61508; external functional safety certification is an advantage.
Proven ability to deliver results across complex, cross-functional projects.
Strong collaboration skills, team orientation, and cross-cultural effectiveness.
Programming skills in C/C++, Python, or MATLAB/Simulink are an advantage.
Education
A PhD or Master of Science degree in Electrical Engineering, Computer Engineering, Embedded Systems, or a related discipline, combined with at least five years of industry experience.
Additional Job Description (for internal candidate view only):
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Summary
Architect, deploy, and scale AI tool evaluation across NXP business lines, integrating ISO/PAS 8800 and ISO/TS 22440 requirements and applying model validation, robustness checks, fault injection, and runtime safety mechanisms. Requires at least five years architecting AI tools and a PhD or MSc in engineering plus industry experience.
Responsibilities
Collaborate with experts across NXP to architect, deploy, and scale AI Tool Evaluation activities within NXP’s development flow; integrate requirements and guidance of standards such as ISO/PAS 8800 and ISO/TS 22440 into NXP’s development processes; contribute technical expertise to Safety and AI innovation projects, including LLM evaluation in corporate environments; apply model validation, robustness checks, fault injection, and runtime safety mechanisms for corporate AI tools; provide structured, execution-based feedback and recommendations to the Safety and AI roadmap owner
Qualifications
At least five years architecting, designing, and validating AI tools in a corporate environment; practical involvement with ISO/PAS 8800 and ISO/TS 22440; deep knowledge of ISO 26262 or IEC 61508; PhD or MSc in Electrical Engineering, Computer Engineering, Embedded Systems, or related discipline plus at least five years of industry experience
Education requirements
PhD or Master of Science degree in Electrical Engineering, Computer Engineering, Embedded Systems, or a related discipline, combined with at least five years of industry experience
Experience requirements
At least five years of experience architecting, designing, and validating AI tools in a corporate environment; practical involvement with or working knowledge of ISO/PAS 8800 and ISO/TS 22440; deep knowledge of ISO 26262 or IEC 61508; proven ability to deliver results across complex, cross-functional projects; strong collaboration skills, team orientation, and cross-cultural effectiveness; programming skills in C/C++, Python, or MATLAB/Simulink are an advantage