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Urgent! Senior DGX AI Cloud Performance Analysis Tools Engineer Job Opening In Santa Clara – Now Hiring NVIDIA
Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research.
This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services.
Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation.
We are seeking excellent Software Engineers to design and develop tools for AI application performance analysis.
Your work will enable AI researchers to work efficiently with a wide variety of DGXC cloud AI systems as they seek out opportunities for performance optimization and continuously deliver high quality AI products.
Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain.
What you'll be doing:
+ Develop AI performance tools for large scale AI systems providing real time insight into applications performance and system bottlenecks.
+ Conduct in-depth hardware-software performance studies
+ Define performance and efficiency evaluation methodologies
+ Automate performance data analysis and visualization to convert profiling data into actionable optimizations
+ Support deep learning software engineers and GPU architects in their performance analysis efforts
+ Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis
What we need to see:
+ Minimum of 8+ years of experience in software infrastructure and tools
+ BS or higher degree in computer science or similar (or equivalent experience)
+ Adept programming skills in multiple languages including C++ and Python
+ Solid foundation in operating systems and computer architecture
+ Outstanding ability to understand users, prioritize among many contending requests, and build consensus
+ Passion for “it just works” automation, eliminating repetitive tasks, and enabling team members
Ways to stand out from the crowd:
+ Experience in working with the large scale AI cluster
+ Experience with CUDA and GPU computing systems
+ Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA etc.)
+ Deep understanding of the software performance analysis and optimization process
NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization.
The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.
NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.
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 August 25, 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 DGX Potential: Insight & Career Growth Guide
Real-time Senior DGX 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 DGX 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 184045 jobs in United States and 2195 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior DGX 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 DGX AI Cloud Performance Analysis Tools Engineer 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 DGX AI Cloud Performance Analysis Tools Engineer 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 DGX AI Cloud Performance Analysis Tools Engineer 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 DGX AI Cloud Performance Analysis Tools Engineer 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 DGX AI Cloud Performance Analysis Tools Engineer interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
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