Senior Solutions Architect, NVIDIA Cloud Partners

About the role

NVIDIA is seeking an experienced Solutions Architect to serve as a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. Drive adoption and consumption by integrating libraries, frameworks, models, and software applications. Deliver GenAI, AI, and ML hardware/software to production with strategic customers and partners, supporting partners building next‑gen GPU platforms. Own end‑to‑end technology solution integration and provide product strategy recommendations based on customer feedback. Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies.

What You'll Be Doing

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver innovative hardware and software solutions.
• Partner with Solutions Architects, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, and secure business opportunities for NVIDIA.
• Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications across the entire customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, and debugging sessions.
• Work closely with customers to build and adopt NVIDIA solutions including proofs of concept to address critical business needs spanning infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, and publications.

What We Need To See

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields (or equivalent experience).
• 10+ years of Solution Engineering (or similar roles such as Sales Engineering, Cloud Engineering, Solution Architecture) including direct experience working with partners and customers.
• Experience crafting and deploying large-scale cluster environments; hands-on design, development, and delivery of distributed Cloud architectures.
• Strong fundamentals in programming, optimizations, and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
• Practical expertise fine-tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
• Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
• Efficient 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.

Ways To Stand Out From The Crowl

• 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, NVIDIA CUDA‑X.
• Hands‑on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on‑premises / hybrid infrastructure, particularly for inference and training workloads.
• Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
• Proficiency with large‑scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine‑tuning, with a strong focus on MLOps and cluster orchestration (SLURM, Kubernetes, orchestrators, load balancing, cloud architecture).
• Experience working with enterprise developers and strong customer‑facing skills.

Pay

Base salary range: 184,000 USD – 287,500 USD (determined by location, experience, and internal equity).