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Urgent! Senior Solutions Architect, GPU - Cloud Service Providers Job Opening In Santa Clara – Now Hiring NVIDIA
Join our team at NVIDIA and help bring AI solutions to our largest customers.
We are seeking an expert Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale.
As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy.
Come join us!
What you’ll be doing:
+ Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
+ Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
+ Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
+ Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
+ Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
+ Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
+ BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
+ 8+ years of engineering (performance/system/solution) experience.
+ Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
+ Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
+ Effective engineering program management with the capability of balancing multiple tasks.
+ Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
+ Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
+ Familiarity with deep learning architectures and the latest LLM developments.
+ Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
+ Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
+ Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Command line proficiency.
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 3, 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 Solutions Potential: Insight & Career Growth Guide
Real-time Senior Solutions 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 Solutions 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 200707 jobs in United States and 2334 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Senior Solutions 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 Solutions Architect, GPU Cloud Service Providers 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 Solutions Architect, GPU Cloud Service Providers 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 Solutions Architect, GPU Cloud Service Providers 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 Solutions Architect, GPU Cloud Service Providers 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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