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Urgent! Senior GPU Memory Architect Job Opening In Santa Clara – Now Hiring NVIDIA
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.
+ Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.
+ Experience with C, C++, and some scripting languages.
Ways to stand out from the crowd:
+ 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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until October 5, 2025.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Unlock Your Senior GPU Potential: Insight & Career Growth Guide
Real-time Senior GPU Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior GPU in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 184481 jobs in United States and 2275 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior GPU roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Senior GPU Memory Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior GPU Memory Architect Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior GPU Memory Architect Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior GPU Memory Architect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Senior GPU Memory Architect interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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