Senior Solutions Architect, GPU - Cloud Service Providers

Details

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.

Responsibilities

• Work with tech giants to develop and demonstrate solutions based on NVIDIA’s software and hardware technologies.
• Partner with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
• Serve as the main technical point of contact for customers engaged in the development of complex AI infrastructure, including support for performance aspects related to large-scale LLM training and inference.
• Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
• Collaborate with customers to build Proof of Concepts (PoCs) addressing critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
• Analyze and develop solutions for customer performance issues for both AI and systems performance.

Requirements

• 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 application performance.
• Effective engineering program management skills with the capability of balancing multiple tasks.
• Strong written and verbal communication skills for documents, presentations, and external customer-facing environments.

Preferred / Ways to stand out

• Hands-on experience with Deep Learning frameworks such as PyTorch and JAX, compilers like Triton and XLA, and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS).
• 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 including performance testing, tuning, and benchmarking.
• Experience deploying solutions in cloud environments (AWS, GCP, Azure, OCI) and knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data center deployments. Command-line proficiency is expected.

Compensation & Benefits

• Base salary range for Level 4: 184,000 USD - 287,500 USD.
• Base salary range for Level 5: 224,000 USD - 356,500 USD.
• You will also be eligible for equity and benefits (see NVIDIA benefits page).

Additional Information

• Location: Santa Clara, CA, United States.
• Employment type: Full time.
• Applications for this job will be accepted at least until October 3, 2025.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate in 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.