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Staff cybersecurity and safety engineer

Cambridge
ARM
Safety engineer
Posted: 16 June
Offer description

Job Description

You will join an expert and motivated team responsible for crafting the next generation of Automotive and Industrial Architectures using cutting edge technologies, like AI, Chiplets, Quantum, etc. The role requires driving the HW and SW Architectures Safety Concept and Model-Based Safety Analyses (MBSA) for Automotive and Industrial applications involving AI components in a dependability context, considering the impact of 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 analyses and technology investigations.


Responsibilities

* Carry out thorough MBSA activities to develop Technical Safety Concept for the automotive and industrial HW, SW, System Architectures integrating AI Components.
* Contribute to new emerging technologies investigations, i.e. reliability, cybersecurity, AI, predictive maintenance.
* Drive exploration, continuous improvement, and standardization of methodologies; evaluation of new tools and proposal of new creative practices to enable efficient application and adoption of safety processes.
* 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 electronics systems, HW and SW architectures, with experience of HDL languages, i.e. Verilog, VHDL and programming languages, i.e. Assembler, C, C++, Python.
* Experience working on functional safety-related development projects applying industry recognized standards, e.g., ISO 26262, IEC 61508, ISO 13849, ISO 21434, DO 254, DO 178C, from design to safety certification of IPs components, HW and SW, and SoCs.
* Extensive expert knowledge and application of Safety Analysis methodologies using industry-standard tools, from functional system level to HW and SW component level: FTA, FMEDA, DFA, SW FMEA, STPA, SPFM/LFM, and PMHF.
* Experienced with authoring and reviewing high-level quality documentation.
* Strong interpersonal skills to convey sophisticated technical information efficiently.
* We seek enthusiasm and flexibility; you are hardworking with a real passion for enabling others to succeed.


“Nice To Have”:

* A Degree in Electronics or Computer Science or relevant experience in industry (PhD would be a plus!).
* Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!).
* Familiarity with Cybersecurity: TARA, Attack Trees, HSM architectures.
* Exposure and familiarity with Reliability technologies, methodologies, and standards applied to SoCs, i.e. RAS, Predictive Maintenance, BFR, HTOL, HAST, Burn-in, JEDEC specifications, etc.
* Exposure to projects developing safety critical automotive and industrial solutions for AD, ADAS, IVI, Digital Cockpit, Industry 4.0. Knowledge of SoC Architectures and Chiplet design technologies a plus!
* Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0 (Plus!).
* Additional relevant Functional Safety and Cybersecurity Professional certifications considered a plus!


In Return:

We offer a competitive reward package including healthcare and wellness support. In addition, there are other benefits such as a supplementary pension, and 25 days annual leave (with an option to buy an additional 5 days per year).

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.

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