Software Solution Architect and Planner ID
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Job description
AMDs Adaptive Embedded Compute Group (AECG) builds products that blend powerful, energy-efficient processors, advanced neural engines and graphics processors, and adaptive embedded compute with programable logic to build edge computing solutions. From autonomous vehicles and industrial robotics to smart healthcare devices, AMD AECG is redefining intelligent edge computing., * Partner with silicon planning and architecture teams help define silicon features and software stacks for the next generation of AI enabled x86 solutions
- Collaborate with market segment architects and business leads to create customer focused x86 solutions to address the complex needs of customers in Aerospace, Automotive, Medical, Robotics, Industrial and Vision markets.
- Work closely with software engineering and product planning teams to define all aspects of the embedded software stacks such as: BIOS, Firmware, Debug and Diagnostic Tools Operating System Support such as Yocto, Ubuntu, QNX, Windows, and Android OS Hypervisors such as Xen and QVM ROCm and Ryzen AI software support for iGPU and NPUs Specialized Application stacks such AMDs Virtualized Automotive Stack (VIS), Robot Operating System (ROS), Multi-Media Analytics, AI Models, VLM and LLMs
- Work with product marketing and engineering teams to prioritize and align software and solution deliverables during release planning processes.
- Present solution progress updates to executive and deliver solution, silicon, and customer application presentations to internal marketing and engineering teams.
Requirements
PREFERRED EXPERIENCE: Experienced Software/Computer Engineer, System Architect, Application Engineer, or Technical Marketing Engineer/Manager with in-depth x86 and AI system experience. Computer Architecture experience and solid understanding of software stacks from BIOS through to Application software Ability to understand a broad set of applications from traditional x86 processing use-cases to emerging applications in AI Inference and Machine learning. Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders. Beneficial to have Project Management experience, excellent organizational skills, and a process-oriented mindset
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