Senior Platform PnP Engineer

Provide technical leadership and mentorship for a team of highly skilled engineers while leading cross-functional initiatives that solve complex platform power, performance, and efficiency challenges. Partner with business, architecture, silicon, firmware, hardware, validation, operating systems, manufacturing, and customer engineering teams to define requirements and deliver optimized platform solutions.

Drive silicon and platform power-performance architecture, including workload characterization, power management features, frequency/voltage optimization, memory subsystem efficiency, accelerator utilization, and system-level performance tuning. Analyze and optimize interactions between silicon, power delivery, thermal solutions, firmware, operating systems, and datacenter infrastructure to maximize performance, efficiency, reliability, and operational scalability.

Lead power-performance characterization, profiling, and benchmarking across Azure datacenter deployments using customer workloads, AI training and inference applications, and synthetic benchmarks to guide data-driven design decisions. Influence future silicon and platform roadmaps through deep analysis of workload behavior, performance bottlenecks, power efficiency opportunities, and emerging AI infrastructure requirements.

Communicate technical strategies, tradeoffs, and recommendations to engineering leadership and executive stakeholders, driving alignment across organizations and accelerating delivery of next-generation AI infrastructure.

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience OR equivalent experience 7+ years of technical engineering experience 7+ years of relevant experience in compute and/or AI systems/platforms design and development.

Excellent collaboration and communications skills being able to partner across Organizations. Proven experience in silicon, platform, server, or datacenter power-performance architecture, characterization, optimization, and validation. Deep understanding of modern SoC/CPU/GPU/AI accelerator architectures, power management techniques, and performance optimization methodologies.

Strong knowledge of silicon power states, DVFS, telemetry, memory subsystems, interconnects, power delivery networks, and thermal management solutions. Experience with AI/ML workloads, datacenter-scale performance analysis, workload profiling, benchmarking, and performance-per-watt optimization. Experience working across hardware, firmware, operating systems, silicon architecture, and validation teams to deliver complex platform solutions.

Demonstrated technical leadership influencing architecture decisions, product roadmaps, and cross-functional engineering organizations. Strong analytical and problem-solving skills with the ability to communicate complex technical concepts to engineering and executive leaders. Experience with hyperscale cloud infrastructure and AI compute platforms.

Experience with custom silicon or AI accelerator development. Knowledge of server architecture, power delivery design, liquid cooling, and large-scale datacenter operations. Experience driving silicon bring-up, performance tuning, power optimization, and workload characterization from pre-silicon through production deployment.

Proven track record of leading large cross-functional technical initiatives and influencing organization-wide engineering strategy.