Senior Principal Architect AI Safety

Arm Limited; München, Dornach; Hybrid; EUR 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Accommodations during recruitment

Hybrid work model

Zusammenfassung

Arm is seeking a technical lead to drive AI Safety for next-generation Automotive Compute Subsystems and complex SoCs. You will define architectures, safety frameworks, and assurance methods across hardware, software, and ML toolchains to enable safe AI deployment in safety-critical systems.

In this hybrid role, you will collaborate with architecture, hardware, software, verification, cybersecurity, and product groups, guiding safety strategy from concept to customer deployment and shaping

Qualifikationen

• Bachelor’s or Master’s degree in Electrical/Computer Engineering, Computer Science, AI, or related field.
• 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.
• Experience with ISO 26262, ISO 21448, IEC 61508, ISO/SAE 21434, and AI safety concepts.

Aufgaben

• Lead the definition and implementation of AI Safety for Automotive Compute Subsystems and SoCs.
• Develop AI safety requirements, architectures, and assurance methods aligned with safety standards.
• Lead integration of AI safety features across hardware, software, runtimes, and toolchains.
• Define approaches for AI robustness, runtime monitoring, uncertainty management, explainability, fault tolerance.

Kenntnisse

AI Safety

SoC architecture

Hardware/Software co-design

Cross-functional leadership

Communication skills

Ausbildung

Bachelor’s or Master’s degree in Electrical/Computer Engineering or CS or AI

Tools

Compiler technologies

ML deployment tool flows

Inference runtimes

Jobbeschreibung

Role Summary

Lead the definition and implementation of AI Safety for next-generation Automotive Compute Subsystems and complex SoCs enabling L4 autonomous driving and humanoid robotics. As the technical lead for AI Safety, you will create comprehensive safety architectures covering hardware, software, AI frameworks, and tool flows, ensuring credible AI deployment for safety-critical systems.

Working alongside architecture, hardware, software, verification, functional safety, cybersecurity, and product groups, you will guide AI safety strategy from concept through customer deployment.

Key Responsibilities

• Develop AI Safety frameworks for complex Automotive and Robotics SoCs and Compute Subsystems.
• Develop AI safety requirements, architectures, and assurance methods aligned with ISO 26262, ISO 21448 (SOTIF), IEC 61508, ISO/SAE 21434, and emerging AI safety standards.
• Lead the integration of 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 groups to secure complete AI safety implementation.
• Support AI safety verification, validation, and technical risk assessments throughout the product lifecycle.
• Support customer engagements, safety assessments, and industry standards activities as the AI safety technical expert.
• Develop future AI safety approaches and reference frameworks for Automotive and Robotics platforms.

Qualifications

• Bachelor’s or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, AI, or a related field.
• 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.
• Experience with ISO 26262, ISO 21448, IEC 61508, ISO/SAE 21434, and AI safety concepts.
• Proven ability to lead cross-functional architecture initiatives and influence multidisciplinary engineering teams.
• Excellent communication and collaborator management skills.
• Experience with Automotive, Robotics, or safety-critical AI systems is highly desirable.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [e-mail]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.