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ISO 26262 1 big thing: Propose architectures to meet the product requirements and technical specifications and generate architectural diagrams.

The big picture: Be the lead interface with the system engineering, safety management, safety engineering and security teams to drive traceability between system-level requirements and architecture with software safety specifications.

Why it matters: Develop a detailed program plan, resource requirements and overall costs to launch the program with the Program Team and present status updates at executive program review meetings.

On the flip side: Make certain that your process is responsible for developing, implementing, and maintaining a program to analyze and assess safety, reliability, sustainability, and quality aspects of the design, development, test, manufacturing, and operational phases of Autonomous Vehicle Programs and Projects.

Under the hood: Lead design failure mode and effects analysis process (dfmea) for several vehicle systems to capture the reliability performance risks and identify the appropriate risk mitigation activities.



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State of play: Conduct comprehensive independent analyses and reviews, including in vehicle evaluation with priority, in the context of the functional safety process in support of system and software development.

The backdrop: Make sure the goal of your team is to improve your overall software quality and the happiness and efficiency of your core system software teams.

What to watch: Ensure there is a strong work involvement in one of the core deep learning optimization areas: quantization, neural net compression (pruning, factorization, knowledge distillation), or neural architecture search (NAS).

Yes, but: Communicate with engineers to update/modify documentation to maintain accurate representation of deliverables; Use tracking tools as Confluence and JIRA to capture changes.

How it works: Make sure the automated driving compute system architecture team is focused on definition, design, analysis, and approval of leading edge silicon system on chip (soc) and machine learning accelerator (mla).

What they’re saying: “Make sure the lead systems engineer is responsible for leading the most challenging technical project, perform challenging assignments with minimal guidance, and understand the business impact of your decisions., Andrew H. – Vehicle Fleet Operation and Lab Manager

Between the lines: Make certain that your strategy members of the group deliver development and methodology expertise to enable leading edge (internal) customers to complete the most challenging automotive chip design projects.

What we’re hearing: “Be certain that your workforce analysis of requirements, the architecture, design, development, code review, quality assurance and deployment of entire software engineering life cycle., Javier T. – Functional Safety Engineer

Be smart: Ensure you define and study multiple alternative architectures, perform trade studies, flow down requirements, establish design verification methods, and make data based recommendations.

The bottom line: Support provision pm tools and pm methods and support engineering functions in the correct use of engineering project management aligned to automotive requirements.

What’s next: Interface and coordinates with system engineering team and power electronics and control design teams to ensure control software requirements are decomposed appropriately and thoroughly analyzed prior to software design, development, and implementation.

ICYMI: Perform project management duties or invest in managing the (internal) customers specific release processes throughout the entire development cycle of each specific product.



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