Principal System Architect, GPU at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

Over 15 years in SoC architecture development or similar technical leadership roles
Proven track record of defining and delivering multiple high-volume SoC systems (such as CPU, GPU, modem, networking or similar)
Proficiency in evaluating power/performance and architectural modeling in high-level programming languages
Strong understanding of SoC system fundamentals, including memory hierarchy, coherency, clocking, power domains, boot and reset, test, and debug methodologies
Hands-on experience with silicon bring-up, debug and tuning
Excellent interpersonal, leadership, and collaboration skills, with the ability to influence across organizations
Outstanding documentation, written, and verbal communication skills
Master's degree (or equivalent experience) in a relevant subject area: Computer Science, Electrical Engineering or Computer Engineering

Responsibilities

Define and drive architecture for complex, high-volume GPU products, ensuring they meet ambitious performance and scalability goals
Perform and guide power and performance evaluation, trade-off assessments, and architectural modeling to identify optimal chip, package and system construction
Lead improvements in architecture, methodology and tools to improve the scalability of the system, collaborating closely with cross-functional engineering teams
Specify and optimize SoC subsystems such as memory architecture, test infrastructure and power management
Collaborate with RTL, verification, physical design, firmware, and software teams to successfully implement and integrate system components
Produce high-quality technical documentation of SoC architecture, specifications, and development trade-offs
Provide technical leadership and mentorship to junior architects and engineers, encouraging a culture of excellence and innovation

Skills

SoC Architecture

GPU Design

Power Performance Evaluation

Architectural Modeling

Memory Architecture

Power Management

RTL

Verification

Physical Design

Firmware

Software Integration

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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