Senior Principal Architect, AI Safety

Job Title

Senior Principal Architect, AI Safety

Role Summary

Lead the definition and implementation of AI safety for next-generation automotive compute subsystems and complex SoCs used in L4 autonomous driving and humanoid robotics. Act as the technical lead for AI safety, creating safety architectures that span hardware, software, AI frameworks, and tool flows and guiding strategy from concept through customer deployment.

Experience Level

Senior — the role expects an experienced technical lead (posting specifies ~10 years of relevant experience in semiconductor or embedded systems).

Responsibilities

Key responsibilities include:

• Develop AI safety frameworks for complex automotive and robotics SoCs and compute subsystems.
• Define AI safety requirements, architectures, and assurance methods aligned with ISO 26262, ISO 21448 (SOTIF), IEC 61508, ISO/SAE 21434, and emerging AI safety standards.
• Integrate AI safety features across hardware, software, AI runtimes, and ML toolchains.
• Define approaches for AI robustness, runtime monitoring, uncertainty management, explainability, fault tolerance, and safe system behavior.
• Partner with architecture, hardware, software, compiler, verification, security, and functional safety teams to deliver end-to-end AI safety solutions.
• Support AI safety verification, validation, and technical risk assessments across the product lifecycle.
• Serve as technical lead for customer safety assessments and industry standards activities.
• Develop reference frameworks and future AI safety approaches for automotive and robotics platforms.

Requirements

Required and preferred qualifications (concise):

Must-have:

• 10+ years proven experience in semiconductor or embedded systems development, including complex SoC architecture.
• Strong understanding of AI/ML systems, modern SoC architectures, and hardware/software co-design.
• Experience with AI software stacks, inference runtimes, compiler technologies, and ML deployment tool flows.
• Practical experience with ISO 26262, ISO 21448 (SOTIF), IEC 61508, ISO/SAE 21434, and AI safety concepts.
• Proven ability to lead cross-functional architecture initiatives and influence multidisciplinary engineering teams; strong communication skills.

Nice-to-have:

• Experience with automotive, robotics, or other safety-critical AI systems.

Education Requirements

Bachelor's or Master’s degree (or equivalent practical experience) in Electrical Engineering, Computer Engineering, Computer Science, AI, or a related technical field.

About the Company

Company: Arm

Headquarters: Cambridge, United Kingdom

ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.