Senior Solutions Architect, NVIDIA Cloud Partners - Telco

NVIDIA • Santa Clara, CA

2d • $184,000 - $356,500

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 GenAI, AI, and ML hardware and software into production with customers and partners building next-generation GPU platforms. The architect owns end-to-end technology solution integration with strategic customers and provides product strategy recommendations based on customer feedback. The role involves working in an interdisciplinary team and supporting NVIDIA Cloud Partners in the telco sector.

The position may require up to 40% travel. The expected base salary is $184,000–$287,500 for Level 4 and $224,000–$356,500 for Level 5. The employee is also eligible for equity and benefits. Applications will be accepted at least until November 7, 2026. This posting is for an existing vacancy.

Requirements

• BS, MS, PhD, or equivalent experience in Electrical or Computer Engineering, Computer Science, Physics, Mathematics, or another Engineering field.
• At least 6 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 across 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, or GCP, and on-premises or hybrid infrastructure, particularly for inference and training workloads.
• Familiarity with NVIDIA hardware such as GPUs, networking, and storage, and systems technology such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
• Proficiency in large-scale AI model training and deployment encompassing GPU systems, performance testing, AI benchmarking, fine-tuning, MLOps, and cluster orchestration such as 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.
• Work with customers to build and adopt NVIDIA solutions, including proofs of concept addressing critical business needs across infrastructure, libraries, and applications.
• Prepare and deliver technical content to customers, including presentations, workshops, reference architectures, tutorials, and publications.
• Provide product strategy recommendations based on feedback from strategic customers.

Benefits

• Equity
• Benefits

What This Job Offers

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