NVIDIA
PrincipalGPUMemorySimulationArchitect
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“Principal GPU Memory Simulation Architect at NVIDIA. Skills: Principal Memory Simulation Architect, GPU memory systems, on-chip interconnect, architectural simulation, AI-assisted model generation. design and develop the next-generation GPU memory and on-chip interconnect performance and functional models. Develop, implement, and refine NOC performance and functional models employing the latest AI technologies to evaluate architectural choices and predict system behavior”
Industry & Context.
identify architecture optimizations
What They're Looking For.
Must Have
Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience), 15+ years of relevant professional experience, performance modeling experience, with demonstrated ability to build and validate architectural simulation infrastructure at scale, Experience in large-scale SW development projects, programming skills in C/C++ and Python or other scripting languages, Deep GPU architecture experience, including memory systems and on-chip interconnect design, Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners
Nice to Have
Background in parallel computing, datacenter architecture, or large-scale interconnect architecture, Experience in writing, running, and analyzing test cases within performance modeling frameworks, Experience in using AI tools for code development, validation, and analysis
What You'll Do.
design and develop the next-generation GPU memory and on-chip interconnect performance and functional models
and refine NOC performance and functional models employing the latest AI technologies to evaluate architectural choices and predict system behavior
Define and architect innovative features for next-generation GPU memory and on-chip interconnect subsystems
application workloads
and simulation results to identify architecture optimizations
How You'll Work.
Team & Collaboration
Collaborate with multi-disciplinary engineering teams to translate product requirements into architectural solutions; effective collaboration with internal teams and external partners
Communication Scope
Excellent communication skills, both written and verbal
Full Job Description
We are seeking a world-class Principal Memory Simulation Architect to design and develop the next-generation GPU memory and on-chip interconnect performance and functional models. Ideal candidates will bring a strong track record in large-scale architectural simulation, AI-assisted model generation, and deep expertise in GPU memory systems. A broad perspective across GPU architecture and the depth to drive both innovative feature definition and performance analysis is highly desirable. This position offers the opportunity to have a real impact in a fast-paced, technology-focused company! **What you 'll be doing:** * Develop, implement, and refine NOC performance and functional models employing the latest AI technologies to evaluate architectural choices and predict system behavior. * Define and architect innovative features for next-generation GPU memory and on-chip interconnect subsystems. * Analyze benchmarks, application workloads, and simulation/emulation results to identify architecture optimizations. * Collaborate with multi-disciplinary engineering teams to translate product requirements into architectural solutions. **What we need to see:** * Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience) * 15+ years of relevant professional experience. * Strong performance modeling experience, with demonstrated ability to build and validate architectural simulation infrastructure at scale. * Experience in large-scale SW development projects and strong programming skills in C/C++ and Python or other scripting languages. * Deep GPU architecture experience, including memory systems and on-chip interconnect design. * Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners. **Ways to stand out from the crowd:** * Background in parallel computing, datacenter architecture, or large-scale interconnect architecture. * Experience i
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