Senior System Power Management Engineer at NVIDIA

Santa Clara, California, United States

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$168,000 – $310,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, Technology, Data CentersIndustries

Requirements

BS or MS degree in EE/CE or equivalent experience
Minimum of 8+ years working experience in Energy/Power Optimization, Data Centers, and ASICs
Experience in working with and optimizing Data Center systems
Experience with ASIC power-saving features, system-level power-saving features, and experience optimizing products deploying multiple ASICs with shared power constraints
Deep understanding of firmware/driver structures and their interaction with HW
Working knowledge of PVT dependencies and binning methodologies
Strong EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting
Effective in a collaborative environment

Responsibilities

Develop system-level power features to address existing and new product opportunities/requirements
Understanding and optimizing DL/AI workloads on Data Center platforms
Prototype features on existing silicon/platforms, lead technical return-on-investment investigations, and design feature bring-up plans for new silicon
Analyze existing workload profiles to identify potential opportunities
Providing input on pitfalls and opportunities during feature proposal reviews
Lead debug efforts from the HW side to root cause feature sequences bugs, silicon bugs, and sophisticated system-level issues caused by interactions between multiple HW and SW features
Work closely and proactively with other engineering teams, such as system architects, chip and board designers, software/firmware engineers, HW/SW QA teams, and Applications Engineering teams, to drive next-generation product design, development, debugging, and release

Skills

ASIC

Power Optimization

Data Centers

Firmware

Drivers

PVT Dependencies

Binning Methodologies

Digital Design

Computer Architecture

Power Analysis

Timing Analysis

Fault Analysis

Scripting

AI Workloads

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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