Job Description

Senior Solutions Architect, GPU - Cloud Service Providers Join to apply for the Senior Solutions Architect, GPU - Cloud Service Providers role at NVIDIA . Overview Join our Solutions Architecture team to help customers build AI/ML and HPC software solutions at scale. As a member of the Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support based on our product strategy. What You’ll Be Doing 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 developing intricate AI infrastructure, including understanding 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) and support cloud service integration for NVIDIA technology on hyperscalers. Analyze and develop solutions for customer performance issues for 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 (TRT, LLM, 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 performance testing, tuning, and benchmarking. Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI and knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency. Compensation and Benefits 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. Applications for this job will be accepted at least until August 25, 2025. Equal Employment Opportunity 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. Job Details JR2002565 Seniority level Mid-Senior level Employment type Full-time Job function Industries: Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr NVIDIA

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