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Nvidia Solution Architect Jobs (NOW HIRING)

Nvidia

OR · On-site

$63.50 - $87/hr

NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging ... Own end-to-end technology solution integration with strategic customers and offer product strategy ...

Nvidia

OR · On-site

Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native ...

Nvidia

Senior HPC Solutions Architect

Santa Clara, CA · On-site

We are looking for a networking professional to join the NVIDIA Solution Architects team. The team supports NVIDIA's AI factory deployments at various customer sites. Together, we will drive end-to ...

Nvidia

OR · On-site

We are looking for a networking professional to join the NVIDIA Solution Architects team. The team supports NVIDIA's AI factory deployments at various customer sites. Together, we will drive end-to ...

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How much do nvidia solution architect jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for nvidia solution architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What is an Nvidia Solution Architect?

An Nvidia Solution Architect is a technical expert who works with clients to design and implement advanced computing solutions using Nvidia's hardware and software products. They help organizations leverage Nvidia technologies, such as GPUs, AI frameworks, and data center solutions, to solve complex business and technical challenges. Solution Architects collaborate with customers, engineering teams, and partners to ensure that solutions are both effective and scalable. Their role involves understanding customer requirements, providing technical guidance, and supporting the deployment of Nvidia-based systems.

How does a Nvidia Solution Architect typically collaborate with clients and internal engineering teams during a project?

A Nvidia Solution Architect acts as a technical bridge between clients and internal product or engineering teams. They engage with clients to understand their business challenges and technical requirements, then work closely with Nvidia's engineering and product experts to design and optimize solutions tailored to those needs. Throughout the project, Solution Architects facilitate clear communication, provide technical guidance, and ensure that solutions are implemented effectively. This collaborative approach helps deliver successful deployments and fosters long-term customer relationships.

What are the key skills and qualifications needed to thrive as an Nvidia Solution Architect, and why are they important?

To thrive as an Nvidia Solution Architect, you need a strong background in computer science or engineering, expertise in GPU architectures, and experience with AI, deep learning, and high-performance computing. Familiarity with Nvidia’s software stack (CUDA, cuDNN, TensorRT), cloud platforms, and relevant industry certifications such as Certified Solutions Architect are typically required. Excellent problem-solving, communication, and client-facing skills help build relationships and translate technical concepts to stakeholders. These skills ensure successful implementation of Nvidia solutions tailored to client needs and drive technological innovation.
Infographic showing various Nvidia Solution Architect job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 1% Part Time, 1% Temporary, and 9% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.

NVIDIA Solution Architect

Tata Consultancy Service Limited

Edison, NJ • On-site

$180K - $200K/yr

Full-time

Posted 13 days ago

Job description

Must Have Technical/Functional Skills
AI / GenAI
• Hands-on experience with LLMs, RAG, agentic workflows, and GenAI architectures
• Frameworks: PyTorch, TensorFlow
• NVIDIA stack: NeMo, NIM, Triton, TensorRT-LLM, RAPIDS
• Custom LLM development experience (LoRA, QLoRA, distillation, hyperparameter tuning)
• Experience using NVIDIA Nemotron models
GPU & Systems
• GPU acceleration, CUDA fundamentals, performance profiling
• Distributed training and inference on multi-node GPU clusters
• AI networking and storage concepts (InfiniBand / Ethernet)
Nice to Have
• Experience with LangGraph, LlamaIndex, CrewAI
• Industry expertise (BFSI, Healthcare, Retail, Manufacturing)
• NVIDIA Certifications (AI Infrastructure, GenAI, AI Operations)
• Enables scalable, governed adoption of GenAI and AI agents
Roles & Responsibilities
Solution Architecture & Delivery
• Design end-to-end AI / GenAI and agentic architectures using NVIDIA GPUs, DGX/HGX platforms, networking, and NVIDIA AI stack (NeMo, NIM, Triton, TensorRT-LLM, RAPIDS)
• Build PoCs and reference architectures for LLMs, RAG, agentic AI, and industry-specific use cases
• Optimize training and inference performance across distributed GPU clusters
AI Agent Lifecycle (NeMo-Powered)
• Enable the full AI agent lifecycle: data preparation, model selection, agent orchestration, deployment, and continuous optimization
• Use NeMo Curator & Data Designer for AI-ready and synthetic data
• Apply Nemotron models, NeMo Retriever, and NeMo Evaluator for RAG and validation
• Build and optimize agents using NeMo Agent Toolkit across LangChain, CrewAI, LangGraph, and custom frameworks
• Deploy high-performance inference using NVIDIA NIM
• Enforce grounding, safety, and compliance using NeMo Retriever and NeMo Guardrails
• Drive continuous improvement using NeMo Customizer, NeMo RL, and NeMo Evaluator
Customer & Partner Engagement
• Act as a trusted technical advisor to enterprise customers, GSIs, ISVs, and cloud partners
• Lead architecture workshops and deep-dive sessions with CXOs, architects, and engineering teams
• Translate business problems into scalable NVIDIA-based solutions with measurable outcomes
Ecosystem & Enablement
• Enable partners on NVIDIA AI Enterprise and cloud reference architectures
• Create reusable assets: demos, reference architectures, and enablement material
• Provide field feedback to influence NVIDIA product roadmap
Salary Range: $180,000 to $200,000 per year

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