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, such as AI, Chiplets, Quantum, etc. The role involves driving the HW and SW Architectures Safety Concept and conducting Model-Based Safety Analyses (MBSA) for Automotive and Industrial applications involving AI components within a dependability context, considering factors like Safety, Cybersecurity, Reliability, Availability, and Real-Time.
Responsibilities:
* Carry out thorough MBSA activities to develop Technical Safety Concepts for automotive and industrial HW, SW, and System Architectures integrating AI Components.
* Contribute to investigations into emerging technologies, including reliability, cybersecurity, AI, and predictive maintenance.
* Drive exploration, continuous improvement, and standardization of methodologies; evaluate new tools and propose innovative practices to facilitate efficient safety process application and adoption.
* Deliver high-quality documentation, such as reports and work products, adhering to industry standards, methodologies, tools, and templates.
Required Skills and Experience:
* Experience in designing and verifying embedded electronics systems, HW and SW architectures, with knowledge of HDL languages like Verilog, VHDL, and programming languages such as Assembler, C, C++, Python.
* Experience working on functional safety-related development projects following recognized standards like ISO 26262, IEC 61508, ISO 13849, ISO 21434, DO 254, DO 178C, from design to safety certification of IPs, HW, SW, and SoCs.
* Extensive knowledge and application of Safety Analysis methodologies using industry-standard tools, from system level to HW and SW components: FTA, FMEDA, DFA, SW FMEA, STPA, SPFM/LFM, and PMHF.
* Proficiency in authoring and reviewing high-quality documentation.
* Strong interpersonal skills for effective communication of complex technical information.
* Enthusiasm, flexibility, hardworking attitude, and a passion for enabling team success.
Nice To Have:
* Experience in developing ML/AI applications using frameworks like Pytorch and TensorFlow.
* Familiarity with Cybersecurity concepts such as TARA, Attack Trees, HSM architectures.
* Knowledge of Reliability technologies, methodologies, and standards applied to SoCs, including RAS, Predictive Maintenance, BFR, HTOL, HAST, Burn-in, JEDEC specifications.
* Experience with HW and SW Architecture Modelling, Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML 2.0.
We Offer:
Competitive rewards, healthcare, wellness support, supplementary pension, and 25 days annual leave (with an option to buy 5 additional days).
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Accommodations at Arm
We support our people to Do Great Things. If you need support or accommodations during the recruitment process, email accommodations@arm.com. Your information will be kept confidential and used solely to facilitate accommodations.
Hybrid Working at Arm
Our hybrid approach aims to support high performance and wellbeing, allowing teams to determine their own patterns based on work and needs. Details will be shared upon application, and we will work with you to find suitable solutions considering local regulations.
Equal Opportunities at Arm
Arm is committed to diversity and inclusion, providing equal opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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