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Nvidia Senior System Software Engineer - Power Management 
India, Maharashtra, Pune 
806341350

Today
India, Pune
time type
Full time
posted on
Posted 2 Days Ago
job requisition id

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

What you'll be doing:
  • Carry out extensive power and performance assessments on CPU, GPU, SoC, and system platforms in diverse work scenarios.

  • Characterize system behavior across different states, such as idle, active, and low-power, ensuring smooth and efficient transitions.

  • Analyze power telemetry, firmware traces, and OS metrics to identify and mitigate bottlenecks, driving flawless performance.

  • Collaborate with hardware, BIOS, OS, and driver teams to strictly enable and improve new power features.

  • Develop and maintain automation scripts and tools for seamless data collection and analysis.

  • Prepare detailed reports and dashboards to summarize findings and determine recommended optimizations.

  • Assist in identifying and troubleshooting power and performance issues to guarantee the effective execution of solutions.

What we need to see:
  • 5+ Years of experiene with Bachelor’s or Master’s degree or equivalent in Electrical Engineering, Computer Engineering or a related field.

  • Strong understanding of power management concepts, including P-states, C-states, T-states, DVFS, package power limits, and thermal throttling.

  • Proven experience with power tools on Windows/Linux platforms, such as WPA, HWInfo, ETL, Xperf, and PowerCfg.

  • In-depth knowledge of SoC architecture, including CPU, memory, I/O subsystems, and firmware (BIOS/UEFI/EC).

  • Proficiency in scripting languages such as Python, PowerShell, or Bash for test automation and data parsing.

  • Strong analytical, debugging, and problem-solving skills to compete in a fast-paced environment.

Ways to stand out from the crowd :
  • Experience with x86/ARM power frameworks.

  • Familiarity with AI or ML-based power optimization approaches.

  • Exposure to SoC validation tools and firmware debugging.

  • Knowledge of battery modeling and energy efficiency benchmarking.