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 Model-Based Safety Analyses (MBSA) for Automotive and Industrial applications involving AI components within a dependability context, considering system attributes like Safety, Cybersecurity, Reliability, Availability, and Real-Time.
Responsibilities:
- Carry out comprehensive MBSA activities to develop the Technical Safety Concept for automotive and industrial HW, SW, and System Architectures integrating AI Components.
- Contribute to investigations of 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 the efficient application and adoption of safety processes.
- 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 (Verilog, VHDL) and programming languages (Assembler, C, C , Python).
- Experience working on functional safety-related development projects following 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.
- Deep expertise in Safety Analysis methodologies using industry-standard tools, from system level to HW and SW component level: 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 technical information.
- Enthusiasm, flexibility, and a hardworking attitude with a passion for enabling team success.
Nice To Have:
- Experience in developing ML/AI applications using tools like Pytorch and TensorFlow.
- Familiarity with Cybersecurity concepts such as TARA, Attack Trees, and HSM architectures.
- Knowledge of Reliability technologies 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.
In Return:
We offer a competitive reward package including healthcare and wellness support, a supplementary pension, and 25 days of annual leave (with an option to buy an additional 5 days).
.
Accommodations at Arm At Arm, we aim to build extraordinary teams. If you require adjustments or accommodations during the recruitment process, please email . Your information will be kept confidential and used solely to facilitate appropriate accommodations, such as breaks, document reading, or office accessibility.
Hybrid Working at Arm Our hybrid work model supports both high performance and personal wellbeing. Teams determine their own patterns based on work and needs, with details shared upon application. We will work with you to find the best solution, considering local legal, regulatory, and other factors.
Equal Opportunities at Arm Arm is committed to equal opportunity employment, fostering a respectful environment for all applicants and colleagues, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.