Senior Principal Architect, AI Safety
ArmJob Title
Senior Principal Architect, AI Safety
Role Summary
Technical lead responsible for defining and implementing AI safety architectures for next-generation Automotive compute subsystems and complex SoCs used in L4 autonomous driving and robotics. Work across architecture, hardware, software, verification, functional safety, cybersecurity, and product teams to deliver end-to-end AI safety solutions from concept to customer deployment.
Experience Level
Senior - typically requires 10+ years of experience in semiconductor or embedded systems development, including complex SoC architecture.
Responsibilities
Accountable for AI safety strategy, architecture, and assurance across hardware and software domains.
- Develop AI safety frameworks, requirements, and architectures for Automotive and Robotics SoCs and compute subsystems.
- Align AI safety approaches with standards such as ISO 26262, ISO 21448 (SOTIF), IEC 61508, and ISO/SAE 21434.
- Integrate AI safety features across hardware, runtimes, compilers, and ML toolchains.
- Define methods for runtime monitoring, uncertainty management, robustness, explainability, and fault tolerance.
- Lead cross-functional technical initiatives and perform safety verification, validation, and risk assessment throughout the product lifecycle.
- Support customer safety assessments and represent technical position in industry standards activities.
Requirements
Must-have technical skills and domain experience.
- 10+ years in semiconductor or embedded systems, with experience in complex SoC architecture.
- Strong understanding of AI/ML systems, hardware/software co-design, and modern SoC architectures.
- Experience with AI software stacks, inference runtimes, compiler technologies, and ML deployment tool flows.
- Familiarity with functional safety and security concepts; experience applying safety standards in system design.
- Proven ability to lead and influence multidisciplinary engineering teams; strong communication skills.
- Nice-to-have: direct experience in Automotive or Robotics safety-critical AI systems and participation in standards development.
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.
