Senior GPU Low Power Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, AI, Automotive, GraphicsIndustries

Requirements

MSEE/MSCE (or equivalent experience) and 4+ years proven experience or PhD, with specialization in Low Power Architectures or energy efficient design techniques
Design experience with industry tools such as SystemVerilog RTL, UVM, Verdi, UPF, VCS NLP, Python, C++
Cross-discipline experience with understanding of HW/SW/System level interactions in important power efficiency scenarios
Solid understanding of advanced digital and analog circuits (highly desirable)
Exposure to lab setup including power measurement equipment such as scope/DAQ, and ability to analyze board-level power issues like supply voltage, over-current (helpful)
Strong interpersonal and organizational skills and the ability & desire to work as a phenomenal teammate
Ways to stand out
Background with HW/SW interactions
Experience with Power what ifs and tradeoffs
Experience in Clock tree power reduction and CG strategies
Background with RAM power optimization
Experience with directed and random functional testing including writing test plans and directed or random diagnostics

Responsibilities

Invent and innovate low power architectural/RTL solutions and drive features and roadmaps for improving efficiency of Desktop, Notebook, and server platforms
Work cross-functionally with other System/SW Architects, and Product engineers to understand energy efficiency improvements
Architect, Design, and Verify features to help improve battery life and energy efficiency
Participate in architectural studies, tradeoff analysis, micro-architecture, and design, planning, verification, and validation efforts
Contribute to the development of techniques to develop highly accurate power and performance models for GPUs, CPUs, Switches, and platforms
Drive performance vs power analysis to enable management/marketing with meaningful product decisions and customer interaction

Skills

SystemVerilog

RTL

UVM

Verdi

UPF

VCS NLP

Python

C++

Low Power Architectures

ASIC

Power Modeling

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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