NVIDIA
high-performance computing
SeniorGPUMemoryArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior GPU Memory Architect at NVIDIA. Skills: GPU Memory Architect, power-constrained performance, memory systems architecture, performance per watt (perf/W), performance per millimeter (perf/mm), power, performance, and area (PPA) analysis. 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”
What You'll Achieve.
improve the power-constrained performance of the hardware; improve performance per watt (perf/W); improve performance per millimeter (perf/mm); improve the state-of-the-art in GPU memory systems; optimize along the axes of perf/W, perf/mm, and perf/$; analyze, define, and improve energy per byte; identify areas for architecture optimizations
Industry & Context.
Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations; Debug power, performance, and functional issues
What They're Looking For.
Must Have
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
Nice to Have
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
What You'll Do.
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
Develop and enhance architecture prototype models for power and noise analysis
Participate in performance and power simulation of features to analyze
and improve energy per byte
application workloads
and performance/power simulation and emulation results to identify areas for architecture optimizations
and functional issues with high-level models
RTL simulation and emulation
How You'll Work.
Team & Collaboration
Collaborate with outside partners on system infrastructure; effective collaboration with internal teams and external partners
Communication Scope
Excellent communication skills, both written and verbal
Full Job Description
NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company. **What you will be doing:** * 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. **What we want to see:** * 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
Applying for this Senior GPU Memory Architect role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.