Senior SoC Power Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Automotive, RoboticsIndustries

Requirements

Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
5+ years of additional relevant work experience focused on computer architecture and power
Understanding of the many factors influencing power efficiency at chip, system, and product levels
Strong interpersonal and teamwork skills
A drive to continuously learn and expand architectural breadth and depth
Ways to stand out
Experience with modeling and optimization of power and/or performance
Prior experience in power architecture and design

Responsibilities

Optimizing power and performance across technical, product, and usage constraints for Nvidia SoCs in driving, robotics, multimedia, edge computing, and other embedded applications
Working with teams throughout the company (RTL, PD, Circuit, SI, Thermal, SW, Platform, Operations, Marketing, etc.) to deliver outstanding power solutions
Guiding HW Design teams in evaluating and improving power efficiency 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

SoC Architecture

Power Optimization

Computer Architecture

Power Modeling

RTL Design

CPU

GPU

DL/ML

Thermal Analysis

Embedded Systems

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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