Principal Hardware Architect - Product Performance and Power at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Datacenter, Consumer Electronics, Automotive, Client Computing, Semiconductors, AIIndustries

Requirements

MS or PhD in EE, CE, CS, Systems Engineering, or equivalent experience
Proven experience of 15+ years in silicon, product power, and power management
Expertise and profound understanding in the areas of silicon power, transistor/device physics, power modeling and measurement, and active power management
Background with system-level features, product binning methods, optimization techniques, and tools for data analysis and statistics
Experience working on product-level power and performance analysis and optimization
Background information on the market segments of the data center is preferred
Familiarity with silicon bring-up and validation, as well as frequency and power characterization; hands-on post-silicon experience is a plus
Excellent problem-solving, partnership, and interpersonal skills
Experience working with offshore teams is required
Exposure to CPU/GPU/SoC architecture and HW-SW co-design is a plus

Responsibilities

Architect next-generation power management features and solutions, through system architecture, design, and productization; working with multi-functional teams across the company
Evaluate industry direction and use cases; identify opportunities and challenges in the area of power management and optimization to drive the future roadmap to build competitive products
Drive initiatives for system-level power optimizations spanning across silicon, platform, software, manufacturing, and product systems, for products ranging from large-scale data centers to low-power client devices
Lead the team in defining power feature requirements and schedules, from architecture to silicon phase, of projects, incorporating silicon feedback to improve the next generation
Develop methodologies for power modeling and measurement, characterization of power features, correlate silicon behavior with simulations, and provide design feedback
Work alongside system architects, designers, marketing teams, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability authorities, ATE engineers, sales, and silicon operations, in a fast-paced, high-energy, collaborative work environment to bring industry-defining products to market

Skills

Hardware Architecture

GPU Design

SoC Architecture

Power Management

Performance Optimization

System Architecture

Silicon Design

Product Roadmap

Multi-functional Team Leadership

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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