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Urgent! Senior Deep Learning Performance Architect Job Opening In Santa Clara – Now Hiring NVIDIA
We are now looking for a Senior Deep Learning Performance Architect!
NVIDIA is seeking outstanding Performance Analysis Architects with a background in performance and energy modeling, architecture simulation, and profiling to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.
What you’ll be doing:
+ Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
+ Prototype key deep learning algorithms and applications
+ Analyze performance, cost and energy trade-offs by developing analytical models, simulators and test suites
+ Characterize power and performance on silicon parts and translate the learnings to architecture features and simulators.
+ Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
+ Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW
What we need to see:
+ A Masters Degree (or equivalent experience) and 6+ years of meaningful relevant experience or PhD and 3+ years of experience in Computer Science, Electrical Engineering, Computer Engineering, or related field
+ Strong foundation in Deep Learning model architectures and performance tradeoffs
+ Experience with performance and energy modeling, power architecture, architecture simulation, profiling, analysis, and visualizations
+ Strong programming skills in Python, C, C++
+ Experience with the architecture of, or workload analysis on, DL accelerators
Ways to stand out from the crowd:
+ Background with GPU Computing and parallel programming models such as CUDA
+ Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX)
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction.
GPU-accelerated Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems.
NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world.
Increasingly known as “the AI computing company”, and widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Are you a creative, motivated deep learning architect with a passion for performance and always up for a challenge?
If so, we want to hear from 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.
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 July 29, 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 Deep Potential: Insight & Career Growth Guide
Real-time Senior Deep Jobs Trends in Santa Clara, United States (Graphical Representation)
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Great news! NVIDIA is currently hiring and seeking a Senior Deep Learning Performance 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 Deep Learning Performance 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 Deep Learning Performance 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 Deep Learning Performance 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 Deep Learning Performance Architect interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
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