Principal System Architect, GPU jobs in United States
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NVIDIA · 5 hours ago

Principal System Architect, GPU

NVIDIA is a leader in GPU innovation and is seeking a Principal System Architect to enhance the architecture and development of their high-performance GPU products. This role involves defining architecture, guiding performance evaluations, and collaborating with cross-functional teams to ensure scalability and efficiency in SoC platforms.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Deepika Yammanur (she/her/hers)
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Responsibilities

Define and drive architecture for complex, high-volume GPU products, ensuring they meet our 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 our 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

Qualification

SoC architecture developmentGPU product architecturePower/performance evaluationArchitectural modelingMemory architectureSilicon bring-upAI accelerator architectureLeadership skillsCommunication skillsProblem-solving skills

Required

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

Preferred

Experience with GPU or AI accelerator architecture, including platform aspects, off-chip I/O technologies, and networked multi-GPU systems
Knowledgeable in modern packaging technologies, and their costs and benefits
Knowledgeable in AI workload characteristics
Outstanding analytical and problem-solving skills with a focus on optimizing performance, power, area, and complexity

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase