Senior SoC Power Analysis Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Automotive, Data Center, RoboticsIndustries

Requirements

Master’s degree in Computer Engineering or Electrical Engineering or equivalent experience
8+ years of additional relevant work experience focused on computer architecture and SOC power-perf analysis and optimization
Understanding of the many factors influencing power efficiency at HW, SW, system, and product levels
Good understanding of HW-SW interactions for Deep learning, Multimedia, or Productivity use cases
Strong interpersonal and teamwork skills
A drive to continuously learn and expand architectural breadth and depth

Responsibilities

Analyzing and optimizing Silicon power and performance across technical, product, and usage constraints for Nvidia SoCs used in data center, driving, robotics, multimedia, edge computing, and other embedded applications
Working with teams throughout the company (HW, SW, Platform, Thermal, Operations, Marketing, etc.) to deliver outstanding power solutions
Guiding HW, SW and Platform teams in evaluating and improving Perf/Watt and battery life of their implementations
Creating power models of key SoC units to evaluate architectural tradeoffs in DL/ML (training/inference), CPU, GPU, and multimedia workloads

Skills

Key technologies and capabilities for this role

SoC Power AnalysisPower OptimizationComputer ArchitecturePerf/Watt AnalysisPower ModelingDeep LearningCPUGPUMultimedia WorkloadsPython ScriptingHW-SW Interactions

Questions & Answers

Common questions about this position

What is the salary range for this Senior SoC Power Analysis Engineer position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What are the required qualifications and skills for this role?

A Master’s degree in Computer Engineering or Electrical Engineering or equivalent experience, 8+ years of relevant work experience focused on computer architecture and SOC power-perf analysis and optimization, understanding of factors influencing power efficiency at HW, SW, system, and product levels, good understanding of HW-SW interactions for Deep learning, Multimedia, or Productivity use cases, strong interpersonal and teamwork skills, and a drive to continuously learn.

What is the company culture like at NVIDIA?

NVIDIA has a dynamic, technology-focused environment with forward-thinking and hardworking people, fostering diversity and equal opportunity, and valuing creativity, autonomy, and a love for challenges.

What makes a candidate stand out for this position?

Experience with modeling and optimization of power and/or performance, Python scripting and SW programming, and experience with prototyping power-optimization ideas on silicon will help you stand out.

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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