Teams at NVIDIA

Leads a distributed team responsible for power profiling, measurement infrastructure, regression monitoring, battery-life validation, and release qualification across NVIDIA platforms. Owns instrumented labs, device fleets, power analytics, automated regression farms, energy-compliance evidence, and cross-company methodology alignment. Drives power analysis from pre-silicon modeling through production, resolves power gaps with hardware and software teams, and provides qualification data for product release decisions.

Develop kernel-level system software for NVIDIA hardware across the chip lifecycle, from architecture and development through production. Collaborate with hardware and cross-functional teams to solve complex performance and power-efficiency problems involving PCIe and connected technologies. The role requires deep system software expertise, C proficiency, kernel debugging skills, and strong technical leadership. Experience with SoC silicon bring-up, AI-assisted development, and broad system-level architecture is advantageous.

Drives power, performance, and performance-per-watt analysis for SoC and Windows on ARM systems. Builds automated power measurement infrastructure, analyzes telemetry and firmware traces, optimizes low-power states and battery-life scenarios, and collaborates with hardware, firmware, OS, and driver teams from pre-silicon modeling through post-silicon validation. Develops visualizations and reports to identify regressions and recommend system optimizations.