NVIDIA
Technology
SeniorGPUMemoryArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior GPU Memory Architect at NVIDIA. Skills: GPU Memory Architecture, Performance Optimization, Architecture Development. Develop architecture and micro-architecture. Improve GPU memory system”
Industry & Context.
Solving complex problems
What They're Looking For.
Must Have
Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field, 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects, communication and interpersonal skills
Nice to Have
PhD with a focus in computer architecture, Successfully mentoring junior engineers and interns
What You'll Do.
Develop architecture and micro-architecture
Improve GPU memory system
Optimize memory management
Participate in performance simulation
Implement high-level models
Maintain high-level models
Analyze application workloads
Analyze simulation results
Present experiment results
Propose improvement mechanisms
Create architectural specifications
Create customer-facing documents
Generate specifications with industry partners
Debug performance issues
Debug functional issues
How You'll Work.
Team & Collaboration
Work with a team; Work with partners in the industry; Present results to the larger group
Communication Scope
communication skills; interpersonal skills
Full Job Description
We are now looking for a Senior GPU Memory Architect. NVIDIA is seeking a motivated architect to work with a team in solving complex problems while optimizing performance, area, complexity, and power on leading-edge silicon processes. This GPU memory architecture team creates new, innovative products tailored to NVIDIA’s world-changing solutions for autonomous vehicles, AI, gaming, mobile systems. **What you will be doing:** * Developing architecture and micro-architecture to improve the state-of-the-art in GPU memory system and memory management optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule. * Participating in performance simulation of features to improve memory access efficiency. * Implementing and maintaining high-level functional and performance models. * Analyzing benchmarks, application workloads and performance simulation results to identify areas for microarchitecture optimizations. * Defining and performing experiments to study the machine in action, presenting experiment results to the larger group and proposing mechanisms for improvement. * Creating architectural specifications and customer-facing documents. Working with partners in the industry to generate specifications which take into account software interfaces to the GPU. * Debugging performance and functional issues with high-level models, RTL simulation, and silicon. **What we need to see:** * Master degree or equivalent experience in Electrical Engineering, Computer Science, Computer Engineering or related field. A PhD with a focus in computer architecture is a plus. * 6+ years of meaningful work experience in GPU or CPU Architecture and development specifically in the area of memory caching and interconnects. * Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, distributed team. Your history of successfully mentoring junior engineers and interns is a huge plus. **Ways to sta
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