Senior System Software Engineer

Job Title

Senior System Software Engineer

Role Summary

Work on power, performance, and power-efficiency analysis for SoC and system platforms with emphasis on Windows on ARM devices. The role develops automated measurement infrastructure, analyzes telemetry and firmware traces, and collaborates across hardware, firmware, OS, and driver teams to optimize power and performance.

Experience Level

Senior - typically 5+ years of relevant industry experience.

Responsibilities

Primary responsibilities include measurement, analysis, automation, and cross-team enablement to improve power and performance.

• Drive power, performance, and perf-per-watt measurements on SoC and system platforms; focus on Windows on ARM (WoA) devices.
• Characterize system behavior across idle, active, and low-power states; optimize Hours of Battery Life (HOBL) scenarios (productivity, web browsing, conferencing, video streaming, Modern Standby/S0ix).
• Analyze power telemetry, firmware traces, and OS metrics to find and mitigate bottlenecks.
• Design, build, and scale automated power measurement infrastructure, integrating DAQs, telemetry parsers, and ETL pipelines.
• Collaborate with hardware architecture, BIOS/firmware, OS, and driver teams to enable and tune power features (DVFS, deep C-states, idle power gating) from pre-silicon through post-silicon bring-up.
• Produce visualizations and reports that summarize product health, isolate regressions, and recommend optimizations to engineering and leadership.

Requirements

Must-have technical skills and experience for the role.

• Strong understanding of power management concepts: low-power modes, P-states, C-states, S0ix/Modern Standby, DVFS, package power limits, and thermal throttling.
• Practical experience with power analysis tools on Windows/Linux (examples: WPA, HWInfo, ETL, Xperf, PowerCfg).
• Solid understanding of SoC architecture, including CPU, memory, I/O subsystems, and firmware (BIOS/UEFI/EC).
• Proficiency in scripting for test automation and data parsing (Python, PowerShell, or Bash).
• Ability to analyze execution metrics (latency, throughput, utilization) and balance power vs. performance trade-offs.

Nice-to-have:

• Experience debugging and optimizing multimedia or display hardware offload pipelines for power savings.
• Experience building scalable lab infrastructure, databases, or ETL pipelines for high-volume telemetry.
• Exposure to AI/ML models for anomaly detection, regression tracking, or predictive power estimation.
• Hands-on experience with SoC validation tools, thermal chambers, and high-resolution power analyzers (NI, Yokogawa, Agilent/Keysight).
• Knowledge of battery modeling and energy-efficiency benchmarking.

Education Requirements

Bachelor's or Master’s degree (or equivalent practical experience) in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. Equivalent industry experience may be acceptable in lieu of a degree.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.