NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is in search of a proficient AI architect/engineer to join as a Senior Solutions Architect, focusing on Generative AI - a ground-breaking opportunity to work with innovative technology and collaborate with top professionals in the industry.
What you'll be doing:
One of the perks of joining NVIDIA is that you’ll enjoy access to incredible emerging technology. You will use our NVIDIA AI platform to demonstrate end-to-end deployment of AI solutions in exciting segments such as healthcare, manufacturing, and financial services.
Develop reference architectures and prototypes for complex AI orchestration patterns in industry-specific contexts.
Build and lead proof-of-concept engagements for novel agentic AI solutions that bring these AI workflows to life.
Design and advise on multi-cloud and hybrid-platform strategies and deployments, ensuring customers can bring to bear the best tools for their specific business challenges.
Lead live workshops, working sessions, and trainings to ensure partner and customer success.
Scale your knowledge by sharing your lessons with other NVIDIA teams around the globe.
Cultivate learning and improvement by providing valuable feedback to sales and product specialists.
What we need to see:
Over 8 years crafting scalable agentic AI systems and complex LLM-powered workflows.
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
Validated experience with MLOps principles, including CI/CD for models, automated training pipelines, and production monitoring.
Established record of developing high-level systems that use sophisticated RAG pipelines as a feature in a broader AI orchestration framework (such as LangChain, LangGraph, Haystack).
Familiarity with emerging standards for agentic AI, such as the MCP protocol for multi-agent orchestration and interoperability.
Strong understanding of modern GenAI ecosystem and LLM architectures. Proficient in innovative PEFT techniques like LoRA, QLoRA, and DoRA.
Robust foundational expertise, MS or advanced degree in a field related to AI or Computer Science, or equivalent experience.
Passion for learning and experience crafting educational materials within the AI or Cloud domain.
Clear love of technology and AI—as illustrated by knowledge of emerging trends and tools.
Strong communication skills and experience working in external-facing roles. Comfortable working in a highly collaborative environment.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- Over 8 years crafting scalable agentic AI systems and complex LLM-powered workflows
- BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or equivalent experience
- Validated experience with MLOps principles, CI/CD for models, automated training pipelines, production monitoring
- Established record of developing high-level systems using sophisticated RAG pipelines
- Familiarity with emerging standards for agentic AI
- Strong understanding of modern GenAI ecosystem and LLM architectures
- Passion for learning and experience crafting educational materials
- Strong communication skills and experience in external-facing roles
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
