Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers
AI summary of the role
NVIDIA seeks a Senior Solutions Architect to partner with cloud service providers and tech giants, building AI/ML and HPC solutions at scale.
What you’ll do
- Develop and demonstrate solutions based on NVIDIA's software and hardware technologies with tech giants.
- Serve as main technical point of contact for customers developing intricate AI infrastructure, including large scale LLM training and inference.
- Conduct regular technical customer meetings for project details, feature discussions, and performance debugging.
- Collaborate with customers to build Proof of Concepts (PoCs) for critical business needs and cloud service integration.
What you’ll bring
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, 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.
Technologies
GPU · CUDA · PyTorch · JAX · Triton · XLA · TensorRT · NCCL · Kubernetes · Docker
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Technical pre-sales · Evidence for this classification:
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
More from the job description
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 bo [... source excerpt omitted ...] 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, perf [... source excerpt omitted ...] ur 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 April 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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, nat
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