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Strong Tier-1 brand and broad senior engineering scope increase applicant competition moderately.
Highly domain-specific semiconductor systems and workload analytics expertise limits cross-industry transferability.
Requires niche systems, memory, and workload expertise, making screening and technical filters stringent.
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Own and execute system-level analysis of memory, storage, and platform subsystems focusing on performance, power, latency, responsiveness, and thermal trade-offs for Mobile and Client products.
Provide architecture guidance and platform insights by translating real workload behavior into actionable recommendations and repeatable engineering methods.
Contribute to AI-enabled transformation initiatives using Generative AI and Agentic AI techniques for workload engineering across Mobile & Client Platforms.
Work Experience Required: Not explicitly mentioned in the JD
Technical expertise in system-level analysis across memory, storage, and platform subsystems.
Ability to independently own and execute defined technical workstreams in engineering projects.
Collaboration skills to work with architecture, engineering, validation, product management, and platform teams.
Experienced technical contributor capable of delivering measurable product improvements through workload analysis.
Strong background in performance and trade-off evaluation in Mobile and Client product platforms.
Familiarity with AI-driven workload engineering initiatives leveraging Generative and Agentic AI techniques.