Staff Functional Safety Engineer

Job Title

Staff Functional Safety Engineer

Role Summary

Join the Automotive and Industrial Architectures team to define and lead safety concepts and model-based safety analyses for hardware, software and system architectures that integrate AI components.

The role covers end-to-end safety activities across HW, SW and system levels, addressing safety, cybersecurity, reliability, availability and real-time constraints to support certification-ready designs.

Experience Level

Senior-level. Specific years of experience are not stated; role expects extensive domain expertise in functional safety for complex electronic systems.

Responsibilities

Lead and execute safety engineering activities and investigations across system, HW and SW levels.

• Develop and drive Technical Safety Concepts and perform Model-Based Safety Analysis (MBSA) for automotive and industrial systems that include AI components.
• Perform inductive and deductive, qualitative and quantitative safety analyses using industry-standard tools.
• Investigate emerging technologies (AI, reliability, cybersecurity, predictive maintenance) for their safety and dependability impact.
• Standardize and improve safety methodologies, evaluate new tools, and propose process improvements to enable efficient safety adoption.
• Produce, author and review high-quality safety documentation and reports aligned with industry standards.

Requirements

Must-have technical skills and experience.

• Design and verification of embedded electronic systems, including hardware and software architecture experience.
• Proficiency with HDL (Verilog, VHDL) and programming in Assembler, C, C++ and Python.
• Practical experience on functional-safety development projects and safety certification of IPs, HW, SW or SoCs.
• Familiarity and hands-on use of safety analysis methodologies and tools: FTA, FMEDA, DFA, SW FMEA, STPA, SPFM/LFM and PMHF.
• Proven ability to author and review high-level technical and safety documentation.
• Strong communication and interpersonal skills to convey complex technical information effectively.

Nice-to-have:

• Experience developing ML/AI applications and toolchains (e.g., PyTorch, TensorFlow).
• Familiarity with cybersecurity approaches: TARA, attack trees, HSM architectures.
• Exposure to reliability technologies and testing methodologies applied to SoCs (RAS, predictive maintenance, BFR, HTOL, HAST, burn-in, JEDEC specs).
• Experience with safety-critical automotive/industrial domains (AD, ADAS, IVI, digital cockpit) and SoC/chiplet design.
• Experience with HW/SW architecture modelling and MBSE frameworks (ISO 15288, MagicGrid, SysML 2.0).
• Relevant functional safety and cybersecurity professional certifications are advantageous.

Education Requirements

Preferably a degree in Electronics, Computer Science or a related technical field; a PhD is a plus. Relevant industry experience may be accepted in lieu of a formal degree. Professional functional safety or cybersecurity certifications are beneficial.

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.