Senior Solutions Architect, NVIDIA Cloud Partners

About the role

NVIDIA is seeking an experienced Solutions Architect to bridge design to deployment of large-scale AI/HPC GPU infrastructure. The role involves driving adoption and consumption by integrating libraries, frameworks, models, and software applications. The Solutions Architect will deliver GenAI, AI, and ML hardware/software to production with key customers and partners, supporting partners in building next-gen GPU platforms.

Responsibilities

• Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA’s innovative hardware and software solutions.
• Partner with Solution 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 throughout the entire customer lifecycle.
• Conduct regular technical customer meetings for project/product details, feature discussions, introduction to new technologies, and debugging sessions.
• Work closely with customers to build and adopt NVIDIA solutions including Proof of Concepts (PoCs) to address critical business needs covering infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, and publications.

Requirements

• 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 Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering 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 in 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 capable of balancing multiple tasks.
• Excellent presentation, communication, and collaboration skills.
• Self-starter with a passion for growth, continuous learning, and sharing insights.

Qualifications

• 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, in particular 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, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).
• Experience working with enterprise developers and strong customer-facing skills.

Benefits

Base salary range: $184,000 - $287,500. Eligible for equity and benefits. Applications accepted until July 11, 2026.

Pay

Base salary range: $184,000 - $287,500.

Schedule

Not specified.

Skills

Not specified.

Company Information

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.