NVIDIA · 1 day ago
Senior System Architect, GPU
United States
Full-time
Remote
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is a leader in AI and accelerated computing, seeking a motivated system architect to innovate and enhance GPU architecture. The role involves cross-disciplinary collaboration to develop performance improvements and validate architectural designs for future data center workloads.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Hiring Manager
Deepika Yammanur (she/her/hers)
Responsibilities
Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance and power efficiency, area, yield, effort, and schedule
Benchmark GPU configurations (core count, memory and interconnect bandwidth) employing advanced packaging; identify optimal designs for future data center workloads
Develop and enhance performance analysis infrastructure, including performance simulators, testbench components and analysis tools, to evaluate configurations under different constraints
Implement and maintain high-level functional and performance models. Analyze application workloads and performance simulation results to identify areas of architecture improvements
Document architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress
Collaborate with other functional teams (Design, Floorplan, Packaging and Systems Engineering, etc) to validate packaging choices against performance, cost, and scalability targets
Qualification
Required
Master's/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
A minimum of 8 years of relevant work experience in GPU or CPU System Architecture development
Proficiency in data analysis (Python, Excel) to correlate configuration changes with performance metrics
Deep understanding of accelerated computing and AI data center requirements and tradeoffs, including performance bottlenecks, TCO, Power Delivery Network (PDN), DC Networking, etc
Strong communication and interpersonal skills, as well as the ability to thrive in a dynamic, collaborative, distributed team
Preferred
Experience with GPU architecture, especially in off-chip IO, memory subsystem, and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT, and power management
Expertise in analyzing performance scaling and bottlenecks at device and system levels for AI/accelerated computing workloads
Knowledgeable in modern packaging technologies, and their costs and benefits
Consistent track record of efficiently implementing complex architectural features
Outstanding problem-solving skills with a focus on optimizing performance, area, complexity, and power
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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 CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-08
Company data provided by crunchbase