Senior Solutions Architect, NVIDIA Cloud Partners

NVIDIA • Santa Clara, WA

11d • $184,000 - $287,500

About The Position

NVIDIA is seeking an experienced Solutions Architect to serve as a trusted technical advisor, bridging the design and deployment of large-scale AI and HPC GPU infrastructure. The role drives adoption and consumption by integrating libraries, frameworks, models, and software applications, and delivers generative AI, AI, and machine-learning hardware and software into production for consequential customers and partners building next-generation GPU platforms. The position owns end-to-end technology solution integration with strategic customers and provides product strategy recommendations based on customer feedback. It calls for experience with deep learning, large language models, and GPU technologies, and offers the opportunity to work in an interdisciplinary team.

Requirements

• BS, MS, PhD in Electrical or Computer Engineering, Computer Science, Physics, Mathematics, or another engineering field, or equivalent experience.
• 10+ years of Solution Engineering or similar Sales Engineering, Cloud Engineering, or Solution Architecture experience, including direct work with partners and customers.
• Experience crafting and deploying large-scale cluster environments and hands-on experience designing, developing, and delivering distributed cloud architectures.
• Strong programming, optimization, and software design fundamentals, especially in Python and deep learning frameworks such as PyTorch and TensorFlow.
• Practical expertise fine-tuning and deploying models and integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
• Ability and motivation to own and drive complex multidisciplinary technical customer engagements throughout the full customer lifecycle and work with cross-functional teams.
• Effective time management and ability to balance multiple tasks.
• Excellent presentation, communication, and collaboration skills.
• Self-starter with a passion for growth, continuous learning, and sharing insights.

Nice To Haves

• Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, and NVIDIA CUDA-X.
• Hands-on expertise with scaled AI cloud environments such as AWS, Azure, and GCP, as well as on-premises and hybrid infrastructure, particularly for inference and training workloads.
• Familiarity with NVIDIA hardware such as GPUs, networking, and storage, and systems technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
• Proficiency in large-scale AI model training and deployment involving GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, and cluster orchestration, including SLURM, Kubernetes, orchestrators, load balancing, and cloud architecture.
• Experience working with enterprise developers and strong customer-facing skills.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver NVIDIA hardware and software solutions.
• Partner with Solutions Architects, Account Managers, Engineering, Product, and business leaders to align strategies, assess technical needs, and secure business opportunities for NVIDIA.
• Serve as the primary technical driver for customers throughout the design, development, construction, integration, and production of GPU cloud infrastructure and applications across the customer lifecycle.
• Conduct regular technical customer meetings covering project and product details, feature discussions, introductions to new technologies, and debugging sessions.
• Work with customers to build and adopt NVIDIA solutions, including proof-of-concept projects addressing critical infrastructure, library, and application needs.
• Prepare and deliver technical content to customers, including presentations, workshops, reference architectures, tutorials, and publications.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior