NVIDIA is the defining technology company of the Artificial Intelligence era. Our unique legacy of innovation is powered by extraordinary technology—and outstanding people. We are looking for a highly skilled and experienced Cloud Solutions Architect to join our team to lead the development of ML solutions built on NVIDIAs DGX Cloud platform, integrated seamlessly with major CSP ML, analytics and infrastructure offerings. The ideal candidate will possess in-depth knowledge and expertise in building integrations with major cloud service providers, including Azure, AWS, and GCP. As a Cloud Solutions Architect, you will play a crucial role in designing and implementing innovative cloud solutions for our enterprise customers and platform partners.

This role is with the NVIDIA DGX Cloud platform group. We are passionate about crafting end-to-end solutions that seamlessly integrate NVIDIA products with leading open-source projects and cloud solutions. .As a Cloud Integration Architect, you will build enterprise ready products and services that let our customers build domain specific LLM’s with their own data on our full stack optimized NVIDIA accelerated compute platform. You need to thrive on building hands-on solutions with expertise in CSP’s MLOps, LLM, RAG, analytics platforms, Kubernetes and PaaS technologies. You will work with strategic customers and internal partners to collect requirements and distill them into a clear cloud solution vision.

What Youll Be Doing:

This is a deeply technical role. We want you to be creative in coming up with unique solutions that address gaps in delivering a seamless end to end cloud experience to help enterprises integrate ML and LLM technologies.
Architect, implement, and manage integrations with major cloud service providers, including Azure, AWS, and GCP ML and analytics platforms.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution using best practices on CSP platforms.
Work with CSP partners to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide machine learning expertise to support the technical relationship with CSP’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption of NVIDIAs DGX Cloud solutions
Conduct Proof of Concept (PoC) exercises to validate proposed solutions and demonstrate feasibility to enterprise customers.
In partnership with CSP’s author solution guides and build hands-on labs experiences to provide opportunities for clients to explore cloud solutions.
Develop comprehensive training materials and resources for field engineers to enable successful deployment and support of cloud solutions.

What We Need To See:

BS or MS in Computer Science, Electrical Engineering (or equivalent experience).
15+ years of experience in software development, systems engineering, or relevant area.
Administration, solution architecture, technical product management experience.
Experience with cloud platforms and working in partnership to deliver SaaS products. Proven experience as a Cloud Solutions Architect or similar role, with a minimum of 8 years demonstrated ability in cloud computing.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.
Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Knowledge of Go-to-Market (GTM) co-selling strategies with Cloud Service Providers (CSPs).
Excellent problem-solving skills and the ability to come up with creative solutions to sophisticated technical challenges.
Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and clients.

Ways To Stand Out From The Crowd:

Extensive experience with Azure, AWS, and GCP, including proficiency in building integrations and deploying solutions on these platforms.
Strong understanding of machine learning platforms, analytics platforms, and their integration with enterprise applications and data sources.
Experience in architecting and developing software or infrastructure for scalable, distributed systems.
Experience in data and information management as it relates to big data trends and issues within businesses.
Solid understanding of networking, security, and compliance requirements in cloud environments.

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the worlds most forward-thinking and hardworking people on our team. If youre creative and autonomous, we want to hear from you!

The base salary range is 272,000 USD - 471,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.