NVIDIA · 11 hours ago
Senior GPU Memory Architect
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
10+ years expNVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, focusing on enhancing the power-constrained performance of the hardware. The role involves developing innovative architectures for GPU memory systems and improving energy efficiency.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Hiring Manager
Deepika Yammanur (she/her/hers)
Responsibilities
Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency
Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$
Develop and enhance architecture prototype models for power and noise analysis
Participate in performance and power simulation of features to analyze, define, and improve energy per byte
Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations
Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems
Collaborate with outside partners on system infrastructure
Qualification
Required
10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system
Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience)
Expertise in power analysis and modeling in pipeline-based architectures
Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc
Experience with C, C++, and some scripting languages
Preferred
MS/PhD in Electrical Engineering, Computer Science, or related field
Experience with hardware design languages such as Verilog or VHDL
Prior experience in developing and optimizing algorithms for power efficiency
Demonstrated ability to innovate and drive continuous improvement in system architecture
Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
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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
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