Senior System Software Engineer - Power Management at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Computer Graphics, GamingIndustries

Requirements

5+ Years of experience 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
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

Responsibilities

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

Skills

Power Management

P-states

C-states

T-states

DVFS

Thermal Throttling

CPU

GPU

SoC

Power Telemetry

Firmware Traces

OS Metrics

Automation Scripts

Python

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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