Senior Solutions Architect, GPU Performance and LLM - Cloud Service Providers

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. Applications for

this job will be accepted at least until May 12, 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, national origin, gender,

gender expression, sexual orientation, age, marital status, veteran status,

disability status or any other characteristic protected by law. NVIDIA pioneered

accelerated computing. Today, our AI infrastructure powers global intelligence,

transforming every industry. Learn more about NVIDIA.