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Urgent! Senior Inference Performance Architect - Deep Learning Job Opening In Santa Clara – Now Hiring NVIDIA
We are now looking for a Deep Learning Performance Analysis Architect! NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and accelerate AI application performance at the intersection of both hardware and software.
Intelligent machines powered by Artificial Intelligence that can learn, reason and interact with people are no longer science fiction.
GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve the world's most challenging problems.
NVIDIA's GPUs excel at running AI algorithms, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world.
What you’ll be doing:
Analyze performance and power efficiency of the most important deep learning inference workloads
Understand and analyze the interplay of hardware and software architectures on forward-looking algorithms, programming models and applications
Identify and prototype opportunities for performance optimization
Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW
What we need to see:
MS or PhD in a relevant discipline (CS, EE, CE) or equivalent experience
6+ years of relevant work/research experience
Solid foundation in machine learning and deep learning
Excellent programming skills in Python, C, C++
Strong background in computer architecture
Experience with performance modeling, architecture simulation, profiling, and analysis
A track record of creative solutions to technical challenges
Ways to stand out from the crowd:
CUDA programming skills
Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT)
Experience with the architecture of or workload analysis on GPUs or other DL accelerators
Increasingly known as “the AI computing company”, NVIDIA wants you! Come join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.
The base salary range is 180,000 USD - 339,250 USD.You will also be eligible for equity and .
NVIDIA accepts applications on an ongoing basis.
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Real-time Senior Inference Jobs Trends in Santa Clara, United States (Graphical Representation)
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Great news! NVIDIA is currently hiring and seeking a Senior Inference Performance Architect Deep Learning to join their team. Feel free to download the job details.
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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 Inference Performance Architect Deep Learning 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 Inference Performance Architect Deep Learning typically include Computer Occupations 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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