Staff Cybersecurity and Safety Engineer

Arm Limited; Cambridge; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

Join a leading company as an architect focusing on the next generation of Automotive and Industrial Architectures, where you will explore innovative technologies like AI and Chiplets. You will drive HW and SW safety and security concepts while collaborating with motivated experts and contributing to groundbreaking safety and cybersecurity methodologies in a dynamic hybrid work environment.

Benefits

Flexible working arrangements

Opportunities for personal development

Collaborative team environment

Qualifications

• Experience with industry standards like ISO 26262, IEC 61508, and related safety practices.
• Proven ability in design verification and programming in multiple languages.
• Strong background in safety and cybersecurity requirements and architecture.

Responsibilities

• Conduct Model-Based Safety and Cybersecurity Analysis (MBSA/MBCA).
• Develop Technical Safety and Security Concepts for HW and SW architectures.
• Perform Threat Analysis and Risk Assessments (TARA) based on industry standards.

Skills

Embedded systems design

Cybersecurity analysis

Model-Based Safety methodologies

Programming (C, C++, Python)

Safety documentation authoring

Education

Degree in Electronics or Computer Science

PhD (preferable)

Tools

ISO/SAE 21434

IEC 61508

Verilog

VHDL

PyTorch

TensorFlow

Job description

You will join an expert and motivated team responsible for crafting the next generation of Automotive and Industrial Architectures using innovative technologies, like AI, Chiplets, Quantum, etc. The role requires driving the HW and SW Architectures Safety and Security Concepts, Model-Based Safety and Security Analyses (MBSA and MBCA) for Automotive and Industrial applications involving AI components in a dependability context, considering system attributes like Safety, Cybersecurity, Reliability, Availability, and Real-Time. You will use industry-standard coordinated design and analysis tools to conduct a comprehensive set of inductive and deductive, qualitative, and quantitative safety and security analyses and technology investigations.

Responsibilities:

• Carry out thorough Model-Based Safety and Cybersecurity Analysis (MBSA/MBCA) activities to develop Technical Safety and Security Concepts for automotive and industrial HW, SW, and System Architectures integrating AI Components.
• Contribute to new emerging technologies investigations, i.e., reliability, cybersecurity, AI, and predictive maintenance.
• Define, review, and improve Threat Analysis and Risk Assessments (TARA), attack trees, security requirements, and security controls in compliance with standards like ISO/SAE 21434 and UNECE WP.29.
• Support integration of hardware security modules (HSMs) and secure boot concepts into SoC and system designs.
• Drive exploration, continuous improvement, and standardization of safety and cybersecurity methodologies; evaluate new tools and propose new creative practices to enable efficient application and adoption.
• Deliver high-quality documentation, i.e., reports and work products, according to industry standards, groundbreaking methodologies, tools, and templates.

Required Skills and Experience:

• Design and Verification of embedded electronic systems, HW and SW architectures, with experience in HDL languages (e.g., Verilog, VHDL) and programming languages (e.g., Assembler, C, C++, Python).
• Experience working on functional safety and cybersecurity development projects applying industry standards such as ISO 26262, IEC 61508, ISO 13849, ISO/SAE 21434, DO-254, and DO-178C.
• Deep knowledge and application of safety and cybersecurity analysis methodologies using industry-standard tools: FTA, FMEDA, SW FMEA, STPA, SPFM/LFM, PMHF, TARA, attack trees, STRIDE, and DFDs.
• Familiarity with hardware/software security architectures, including secure boot, trusted execution environments, secure communication protocols, and cryptographic mechanisms.
• Skilled in authoring and reviewing high-quality safety and security documentation.
• Strong social skills to convey complex technical information efficiently.

“Nice To Have”:

• A Degree in Electronics or Computer Science or relevant proven experience (PhD a plus!).
• Experience developing ML/AI applications using toolchains such as PyTorch or TensorFlow.
• Professional certifications in Functional Safety (e.g., TÜV) and Cybersecurity (e.g., CISSP, CEH, or ISO/SAE 21434 Practitioner).
• Exposure to reliability methodologies and standards for SoCs (e.g., RAS, Predictive Maintenance, BFR, HTOL, HAST).
• Experience with safety-critical automotive and industrial solutions (AD, ADAS, IVI, Digital Cockpit, Industry 4.0).
• Knowledge of SoC Architectures, Chiplet design, and HW/SW Architecture Modelling. Familiarity with Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0.

In Return:

You will be working at the Arm HQ in Cambridge, and you will have plenty of opportunities in an evolving organization that is currently enabling the AI technological revolution in the mobile, infrastructure, industrial, and automotive domains.

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.