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.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA pioneers innovative tech in computer graphics, gaming, and AI, seeking Sr System SW Engineers in Pune, India.
What you'll be doing:- Drive comprehensive power, performance, and Perf/Watt measurements on SoC and system platforms, with a strong emphasis on Windows on ARM (WoA) devices.
- Characterize system behavior across different states, idle, active, and low-power states, especifically optimizing Hours of Battery Life (HOBL) scenarios (e.g., Productivity, Web Browsing, Conferencing, Video Streaming, Modern Standby).
- Analyze power telemetry, firmware traces, and OS metrics to identify and mitigate bottlenecks, driving flawless performance.
- Design, build, and scale automated power measurement infrastructure, integrating Data Acquisition systems (DAQs), telemetry parsers, and ETL pipelines from the ground up.
- Collaborate closely with hardware architecture, BIOS/FW, OS, and driver teams to enable and tune new power features (DVFS, deep C-states, idle power gating) from Pre-Silicon modeling through Post-Silicon bring-up.
- Develop advanced visualization and detailed reports to summarize product health trends, isolate regressions, and recommend architectural or software optimizations to executive and engineering teams.
- 5+ Years of experiene with Bachelor’s or Master’s degree or equivalent in Electrical Engineering, Computer Engineering or a related field.
- Strong grasp of foundational and advanced power management concepts: Low Power Modes, P-states, C-states, S0ix/Modern Standby, DVFS, package power limits, and thermal throttling.
- Proven experience with power tools on Windows/Linux platforms, such as WPA, HWInfo, ETL, Xperf, and PowerCfg.
- ISolid understanding 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.
- Proven ability to analyze complex execution metrics (latency, throughput, utilization) and balance power vs. performance trade-offs.
- Direct 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 lab telemetry.
- Exposure to integrating 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.
Join NVIDIA, where we strive for excellence and innovation in everything we do!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Skills Required
- 5+ years of professional experience
- Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience
- Knowledge of power management concepts, including low-power modes, P-states, C-states, S0ix, Modern Standby, DVFS, package power limits, and thermal throttling
- Experience using Windows/Linux power analysis tools such as WPA, HWInfo, ETL, Xperf, and PowerCfg
- Understanding of SoC architecture, including CPU, memory, I/O subsystems, BIOS/UEFI, and embedded controllers
- Proficiency in Python, PowerShell, or Bash for test automation and data parsing
- Ability to analyze latency, throughput, and utilization metrics and balance power-performance trade-offs
- Experience debugging and optimizing multimedia or display hardware offload pipelines
- Experience building scalable lab infrastructure, databases, or ETL pipelines for high-volume telemetry
- Experience integrating AI/ML models for anomaly detection, regression tracking, or predictive power estimation
- Experience with SoC validation tools, thermal chambers, and high-resolution power analyzers from NI, Yokogawa, or Agilent/Keysight
- Knowledge of battery modeling and energy-efficiency benchmarking
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
