Principal Silicon Systems Architect
Listed on Microsoft’s official careers site. Posted July 28, 2026. Check that it is still open and apply there.
Apply on Microsoft’s careers site →Job description
Lead silicon roadmap definition and development with our silicon partners, or lead system architecture for a key compute pillar such as AI or system memory. Translate workloads, target experiences, and product goals into system and silicon requirements. Define architecture, capabilities, KPIs, and tradeoffs across compute, memory, power, performance, cost, thermal, security, and software. Drive co-design across Windows, AI, device, platform, and silicon teams.
Build workload and system models to guide architecture and product decisions. Drive technical alignment from early definition through silicon and product execution. Communicate complex technical tradeoffs to drive decisions across engineering teams, executives, and partners. Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 12+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 10+ years technical engineering experience OR Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 7+ years technical engineering experience OR equivalent experience.
Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with 10+ years of experience in silicon, system, or product development. Track record of defining and delivering complex SoCs or systems from architecture through product launch. Experience shaping silicon roadmaps and driving architecture decisions with silicon partners. Proven experience in driving complex product and system feature decisions across wide range of stakeholders.
Experience with workload characterization, performance analysis, and system modeling. Deep expertise in SoC architecture or a key system domain such as AI, compute, memory, power, or performance. Understanding of heterogeneous compute across CPU, GPU, NPU, media, memory, interconnects, and power management. Ability to establish direction and drive decisions with incomplete information.
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