STCO System Architecture Technologist, up to Sr. Staff

优缺点分析

角色解读

• Progress to senior staff or principal architect roles, leading technology roadmaps for next-gen SoCs.
• Expand into broader system architecture or technical leadership positions within Qualcomm's ASICS Engineering.
• Opportunity to influence industry standards in AI acceleration and advanced packaging.
• Define system-level architecture and technology pathfinding for advanced SoCs with 2.5D/3D and chiplet integration.
• Drive early trade-off decisions involving architecture, packaging, and process technology for next-gen products.
• Translate workload requirements into quantitative KPIs covering performance, power, thermal, yield, and AI efficiency.
• Collaborate with cross-functional teams to enable consistent system-level evaluation across product generations.
• Deep expertise in STCO architecture, 2.5D/3D integration, and chiplet-based SoC design.
• Strong understanding of system KPIs such as bandwidth, latency, power, thermal, yield, and cost.
• Workload-driven design experience, particularly for AI inference and HPC.
• Basic programming proficiency (e.g., Python) for system modeling and trade-off analysis.

申请策略

• Tailor your resume to clearly demonstrate impact in defining system KPIs and driving architecture decisions.
• Prepare to discuss specific examples of how you resolved trade-offs among performance, power, and cost.
• Emphasize experience with 2.5D/3D architectures, chiplet designs, and system-level KPI definition.
• Showcase projects involving AI workload analysis, performance modeling, or trade-off studies.
• Highlight cross-functional collaboration and ability to drive early architecture decisions.
• Include programming skills (Python, modeling) and any contributions to advanced packaging.
• Deepen knowledge of AI inference metrics (tokens per second/watt/cost) and their architecture dependencies.
• Get hands-on with system-level modeling tools (e.g., Python-based simulators) for early trade-off analysis.

面试指南

• Use the STAR method (Situation, Task, Action, Result) to structure responses with clear context and impact.
• For technical questions, start with first principles (e.g., system constraints) and then show quantitative reasoning.
• Demonstrate cross-functional thinking by considering architecture, packaging, and technology together.
• How would you approach defining system-level KPIs for a new chiplet-based AI accelerator?
• Describe a time you had to make a trade-off between performance and power at the architecture level.
• Can you explain the impact of 2.5D vs 3D integration on thermal management and yield?
• How do you evaluate the cost per token for an AI inference chip and what factors affect it?
• Walk us through your experience with workload-driven design for HPC or AI use cases.