System Software Manager - Power Profiling and Infrastructure

Overview

• NVIDIA is a global leader in accelerated computing, powering breakthroughs in AI, graphics, autonomous vehicles, and scientific simulation.
• Inside NVIDIA, the Software Power Profiling team is the power measurement authority for our most strategic platforms — RTX Spark, DGX Spark, discrete GPU desktop and notebook, and data center.
• The team measures power and performance-per-watt, qualifies power targets, co-engineers battery life with OEMs, runs nightly regression farms across the device fleet, and builds the profiling infrastructure — frameworks, analytics dashboards, and automated regression farms — that the rest of NVIDIA relies on to understand and optimize power.
• What you'll be doing Lead, grow, and mentor a cross-site team of power and infrastructure engineers across Pune and Bangalore — setting individual and team roadmaps, development plans, and clear ownership across all mandates.
• Drive the team's power profiling authority across the full product lifecycle: pre-silicon power engagement, power target qualification, regression monitoring, battery-life validation, and external software release qualification — including nightly development-branch and release-branch power and perf/watt monitoring across discrete GPU and data-center platforms.
• Own the physical lab — run a temperature-controlled, instrumented measurement lab across two sites, covering DUT fleet management, board procurement, intake and logistics, board instrumentation and rework, DAQ and power-path integrity, rack build-out, and cross-geo capacity planning.
• Shape measurability from pre-silicon through production — engage pre-silicon to challenge power modelling assumptions and establish measurement confidence levels; drive instrumented boards, rail maps, on-board sensors, and DAQ adapter design; specify, track, and escalate measurement prerequisites (telemetry, software build, validation, and agreed power targets with guard band policy), holding the requirement and escalating when it slips.
• Close power gaps and own release readiness — quantify and attribute power gaps to rail, IP, feature, and residency; drive debug and optimization alongside software and hardware power owners through experiments and recovery confirmation; deliver the power verdict that feeds program go/no-go decisions, backed by qualification data on every external software drop.
• Lead cross-company power engagement — converge measurement methodology and tooling with OEMs and software power owners; co-engineer shared battery-life targets, conduct joint root-cause analysis where measurements diverge, and maintain a common bug-and-analysis stream.
• Own the team's infrastructure portfolio and energy compliance — drive the in-house power profiling framework, power analytics dashboard, and automated power regression farm as production-grade shared assets; deliver energy-regulation compliance evidence (idle, standby, and off-mode power) required to clear product release gates.
• What we need to see BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 8+ years of overall industry experience.
• 5+ years of engineering management experience, with a proven track record of delivering complex software and infrastructure at velocity across distributed teams.
• Deep background in power systems, computer architecture, and SoC/platform power — with hands-on experience in power measurement, analysis, or power-stack debugging.
• Experience running or closely supporting a hardware measurement lab — instrumentation, device fleet, and the logistics that keep it productive.
• Demonstrated ability to engage across the full program lifecycle — from pre-silicon power modeling through bring-up, qualification, and post-commercialization sustaining.
• Strong communication and interpersonal skills to operate across engineering teams, program management, partner labs, OEM customers, and executive stakeholders.
• Commitment to measurement quality and the defensibility of data that drives product decisions.
• Ways to stand out from the crowd Hands-on power profiling experience — DAQ-based external rail capture, on-board sensor validation, or telemetry-driven regression root cause.
• Intimate knowledge of Windows on Arm or client SoC platforms — battery-life scenario methodology, Modern Standby measurement, or energy-efficiency regulatory compliance.
• Experience leading silicon bring-up power profiling — firmware sensor validation, first-power baselines, and bring-up-phase engagement with hardware teams.
• Track record of building or leading power regression infrastructure or automated test/analysis pipelines at scale.
• Experience with AI/agentic workflow development applied to lab automation, failure triage, or report generation.
• Prior cross-company lab convergence work — aligning methodology, build synchronization, and shared tooling between two or more power or validation labs.