System 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

Technology, Semiconductors, AutomotiveIndustries

Requirements

BS degree or greater in an engineering field (strong EE fundamentals) or equivalent experience
10+ years of hands-on experience with hardware architecture and product development
System architecture expertise
Ability to communicate effectively with and direct all team members involved in product development (PCB design, PCB architecture, system architecture, PCB Layout, Mechanical, Thermal, Chip Arch, product management, product marketing, and executive leadership)
Strong analytical and problem-solving skills
Excellent communication and presentation abilities, including the ability to present to executive audiences
Culture of continuous learning, ongoing process improvement, and a first-principles approach to creative problem-solving
Experience in influencing decisions and leading teams in a matrix environment

Responsibilities

Interact with NVIDIA customers to ensure that all product features and optionality are clearly understood and implemented as intended
Intercept potential escalations and work with the engineering team to prioritize and ensure customer satisfaction
Work with sales, customer management, applications engineering, and other customer-facing teams to ensure alignment and prioritization to meet critical milestones for customer success
Foster a mutually beneficial partnership with key customers
System architecture: Ability to communicate with and direct all team members building any NVIDIA product
Clearly summarize and inform colleagues of the important aspects of products and systems to gather feedback and share ideas
Help teams solve critical design challenges
Make informed decisions and own the results
NVIDIA roadmap: Develop future architectures and provide guidance to software and ASIC teams to influence long-term product roadmap
Create new initiatives to explore undeveloped features and present their applicability to future products
Analyze and summarize tradeoffs of future system architectures, product features, and software functions

Skills

System Architecture

Hardware Architecture

PCB Design

PCB Layout

Mechanical Design

Thermal Management

Chip Architecture

Product Development

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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